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2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM)最新文献

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Ridge regression and Kalman filtering for target tracking in wireless sensor networks 脊回归与卡尔曼滤波在无线传感器网络目标跟踪中的应用
2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM) Pub Date : 2014-06-22 DOI: 10.1109/SAM.2014.6882384
S. Mahfouz, F. Mourad, P. Honeine, J. Farah, H. Snoussi
{"title":"Ridge regression and Kalman filtering for target tracking in wireless sensor networks","authors":"S. Mahfouz, F. Mourad, P. Honeine, J. Farah, H. Snoussi","doi":"10.1109/SAM.2014.6882384","DOIUrl":"https://doi.org/10.1109/SAM.2014.6882384","url":null,"abstract":"This paper introduces an original method for target tracking in wireless sensor networks that combines machine learning and Kalman filtering. A database of radio-fingerprints is used, along with the ridge regression learning method, to compute a model that takes as input RSSI information, and yields, as output, the positions where the RSSIs are measured. This model leads to a position estimate for each target. The Kalman filter is used afterwards to combine the model's estimates with predictions of the target's positions based on acceleration information, leading to more accurate ones.","PeriodicalId":141678,"journal":{"name":"2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130219831","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Enhancing physical layer security in untrusted relay networks with artificial noise: A symbol error rate based approach 基于符号错误率的人工噪声非可信中继网络物理层安全性增强方法
2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM) Pub Date : 2014-06-22 DOI: 10.1109/SAM.2014.6882390
Y. Liu, Liang Li, M. Pesavento
{"title":"Enhancing physical layer security in untrusted relay networks with artificial noise: A symbol error rate based approach","authors":"Y. Liu, Liang Li, M. Pesavento","doi":"10.1109/SAM.2014.6882390","DOIUrl":"https://doi.org/10.1109/SAM.2014.6882390","url":null,"abstract":"We apply the concept of artificial noise (AN) transmission in an untrusted relay network to enhance secure communication between the source and destination. Specifically, in addition to square quadrature amplitude modulated (QAM) signals broadcasted by the source, the relay simultaneously receives AN symbols designed and transmitted by the destination. For the relay, based on the assumption of additive white Gaussian noise, we derive the analytical symbol error rate (SER) expression, which is maximized for the optimal AN design. Under an average power constraint, we find the optimal phase and power distribution of the AN. Interestingly, our study shows that the Gaussian distribution is generally not optimal to generate AN and the results in this paper can be used as benchmarks for future analyses of AN-based techniques. More importantly, rather than conducting analysis from an information-theoretic perspective, our SER-based approach takes practical communication issues into account, such as QAM signalling.","PeriodicalId":141678,"journal":{"name":"2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132879451","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 11
Distributed ensemble Kalman filtering 分布式集合卡尔曼滤波
2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM) Pub Date : 2014-06-22 DOI: 10.1109/SAM.2014.6882379
A. Shahid, Deniz Üstebay, M. Coates
{"title":"Distributed ensemble Kalman filtering","authors":"A. Shahid, Deniz Üstebay, M. Coates","doi":"10.1109/SAM.2014.6882379","DOIUrl":"https://doi.org/10.1109/SAM.2014.6882379","url":null,"abstract":"We address the problem of distributed filtering in a wireless sensor network and develop distributed approximations of three variants of the ensemble Kalman filter. We express the update equations in an alternative information form in order to formulate a distributed measurement update mechanism. The distributed filters use randomized gossip to reach consensus on the statistics needed to perform an update. Simulation results suggest that in the case of linear measurements and high-dimensional nonlinear measurements (with measurement model parameters known network-wide) with nonlinear state dynamics the proposed schemes achieve accuracy comparable to state-of-the-art distributed filters while significantly reducing the communication overhead.","PeriodicalId":141678,"journal":{"name":"2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120878089","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Soft-thresholding for spectrum sensing with coprime samplers 用同质采样器进行频谱检测的软阈值
2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM) Pub Date : 2014-06-22 DOI: 10.1109/SAM.2014.6882456
P. Pal, P. Vaidyanathan
{"title":"Soft-thresholding for spectrum sensing with coprime samplers","authors":"P. Pal, P. Vaidyanathan","doi":"10.1109/SAM.2014.6882456","DOIUrl":"https://doi.org/10.1109/SAM.2014.6882456","url":null,"abstract":"Coprime Sampling has been recently proposed to efficiently estimate the spectrum of wideband signals, using sampling rates which can be significantly lower than the Nyquist rate. While the method has been shown to work well when large number of samples are available for estimating the autocorrelation, the effect of fewer samples on the performance of coprime spectrum estimation has not been addressed so far. This paper addresses this issue by employing a denoising scheme on the spectral estimates, as a l1 norm penalized quadratic program. The solution to this problem results in the so-called soft thresholding operator on the spectral estimates, which inherently promotes sparsity. It also helps to combat the effect of spurious peaks resulting from the finite sample averaging. The probabilities of detecting active and inactive bands are also explicitly characterized and they converge to unity by increasing the number (L) of sub Nyquist samples available to compute the estimates. The effectiveness of the proposed method is demonstrated through numerical examples.","PeriodicalId":141678,"journal":{"name":"2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124677378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 10
Energy detection for decision fusion in wireless sensor networks over Ricean-mixture fading rice -mix衰落下无线传感器网络决策融合的能量检测
2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM) Pub Date : 2014-06-22 DOI: 10.1109/SAM.2014.6882362
P. Rossi, D. Ciuonzo, T. Ekman, K. Kansanen
{"title":"Energy detection for decision fusion in wireless sensor networks over Ricean-mixture fading","authors":"P. Rossi, D. Ciuonzo, T. Ekman, K. Kansanen","doi":"10.1109/SAM.2014.6882362","DOIUrl":"https://doi.org/10.1109/SAM.2014.6882362","url":null,"abstract":"In this paper we focus on the energy detector for decision fusion in wireless sensor networks over multiple access channels. More specifically, we derive analytical performance in terms of global probability of false alarm and detection (including asymptotic performance for large number of sensors) when the fading is a Ricean mixture, i.e. channel coefficients are sampled from a Gaussian mixture (GM) distribution. The motivation for the GM is the ability to model real-world scenarios while keeping mathematical tractability. Analytical results are confirmed through numerical simulations.","PeriodicalId":141678,"journal":{"name":"2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127838023","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
Time domain CS kernel design for mitigation of wall reflections in urban radar 缓解城市雷达壁反射的时域CS核设计
2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM) Pub Date : 2014-06-22 DOI: 10.1109/SAM.2014.6882450
Yujie Gu, N. Goodman
{"title":"Time domain CS kernel design for mitigation of wall reflections in urban radar","authors":"Yujie Gu, N. Goodman","doi":"10.1109/SAM.2014.6882450","DOIUrl":"https://doi.org/10.1109/SAM.2014.6882450","url":null,"abstract":"In this paper, we use the task-specific information (TSI) metric to optimize a compressive sensing kernel for target detection behind a wall. When the target is close to the wall, strong reflections from the wall can obscure the target. Even if wall reflections are estimated and subtracted from the measurement, the dynamic range between wall and target reflections may saturate the analog-to-digital converter (ADC). Furthermore, resolving the target from the wall requires high bandwidth. In this paper, we consider the potential for using custom-designed compressive measurement kernels to mitigate these resolution and dynamic range problems. We treat wall reflections as colored noise in our Gaussian Mixture-based kernel optimization procedure, which results in custom-generated kernels that can reject the dominant wall reflections. Although this places more burden on a receivers analog components, in some scenarios it can significantly improve the situation at the ADC.","PeriodicalId":141678,"journal":{"name":"2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128791937","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
Ultrasonic array imaging for immersion non-destructive testing 用于浸没无损检测的超声阵列成像
2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM) Pub Date : 2014-06-22 DOI: 10.1109/SAM.2014.6882371
N. Moallemi, S. Shahbazpanahi
{"title":"Ultrasonic array imaging for immersion non-destructive testing","authors":"N. Moallemi, S. Shahbazpanahi","doi":"10.1109/SAM.2014.6882371","DOIUrl":"https://doi.org/10.1109/SAM.2014.6882371","url":null,"abstract":"One of the applications of advanced array signal processing is immersion ultrasonic non-destructive testing (NDT), where a solid test sample and an array of transducers are immersed in water, for the purpose of imaging the test sample. To do so, the knowledge of the shape of the upper surface of the test sample is needed. We model the interface between water and the solid as an incoherently spatially distributed reflector. We then develop a covariance fitting based approach to estimate the parameters of the shape of the upper surface of the test sample. With the knowledge of the estimated shape of this surface, we use the same approach to estimate the parameters of the shape of a crack inside the test sample. Numerical simulations are conducted to show the accuracy of the proposed approach.","PeriodicalId":141678,"journal":{"name":"2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123149477","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Measuring the impact of outdated channel state information in interference alignment techniques 测量过时信道状态信息对干扰对准技术的影响
2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM) Pub Date : 2014-06-22 DOI: 10.1109/SAM.2014.6882414
Gerald Artner, M. Mayer, M. Guillaud, M. Rupp
{"title":"Measuring the impact of outdated channel state information in interference alignment techniques","authors":"Gerald Artner, M. Mayer, M. Guillaud, M. Rupp","doi":"10.1109/SAM.2014.6882414","DOIUrl":"https://doi.org/10.1109/SAM.2014.6882414","url":null,"abstract":"Interference alignment has been proposed as a transmission technique to cancel the interference for the K-user interference channel at high signal-to-noise ratio. In the case of multiple-input multiple-output (MIMO)-transmission the interference can be aligned in a subspace of the receiver antennas. In this work we investigate the impact of outdated channel state information (CSI) due to temporal channel variations on the performance of interference alignment. Experimental transmissions of real-time precoded signals from an indoor and outdoor MIMO testbed exhibit performance degradation due to outdated CSI. Furthermore, a model is proposed and evaluated that describes the temporal channel fluctuations based on these measurements.","PeriodicalId":141678,"journal":{"name":"2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM)","volume":"246 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121878006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
Multi-stage compressed sensing and wall clutter mitigation for through-the-wall radar image formation 穿透壁雷达图像形成的多级压缩感知和壁杂波抑制
2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM) Pub Date : 2014-06-22 DOI: 10.1109/SAM.2014.6882449
F. Tivive, A. Bouzerdoum, Van Ha Tang
{"title":"Multi-stage compressed sensing and wall clutter mitigation for through-the-wall radar image formation","authors":"F. Tivive, A. Bouzerdoum, Van Ha Tang","doi":"10.1109/SAM.2014.6882449","DOIUrl":"https://doi.org/10.1109/SAM.2014.6882449","url":null,"abstract":"In this paper, a multi-stage through-the-wall radar imaging technique combining wall clutter mitigation and scene reconstruction is proposed. In the first stage, compressed sensing is applied to compressive measurements to recover the radar signals in the wavelet domain. Then, a subspace projection method is employed to remove the wavelet coefficients associated with the exterior wall reflections. In the second stage, the remaining wavelet coefficients are further compressed using principal component analysis. A compact linear measurement model is then formulated which relates the compressed wavelet coefficients to the image of the scene. Finally, the image reconstruction problem is solved in a more efficient compressed sensing framework, using the compact linear measurement model. Experiment results obtained from real data prove that the proposed method is more efficient and achieves better performance, in terms of target-to-clutter ratio, than direct compressed sensing signal recovery method and delay-and-sum beamforming.","PeriodicalId":141678,"journal":{"name":"2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127704897","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 8
A GNSS structural interference mitigation technique using antenna array processing 基于天线阵列处理的GNSS结构干扰抑制技术
2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM) Pub Date : 2014-06-22 DOI: 10.1109/SAM.2014.6882352
Saeed Daneshmand, A. J. Jahromi, A. Broumandan, G. Lachapelle
{"title":"A GNSS structural interference mitigation technique using antenna array processing","authors":"Saeed Daneshmand, A. J. Jahromi, A. Broumandan, G. Lachapelle","doi":"10.1109/SAM.2014.6882352","DOIUrl":"https://doi.org/10.1109/SAM.2014.6882352","url":null,"abstract":"Position solutions provided by Global Navigation Satellite Systems (GNSS) can be completely misled by structural interference or spoofing threats. An approach utilizing an antenna array is proposed in order to suppress spoofing attacks. The proposed method is based on the assumption that all spoofing signals are transmitted from a single point source. A spatial domain processing technique is proposed to extract the spoofing signal steering vector and consequently to discard the spoofing signals. This method is implemented before despreading and acquisition stage of a GNSS receiver. Hence, it does not impose a heavy computational load on the receiver operational process since it does not require any extensive search in the code and Doppler domains to separately despread individual authentic and spoofing signals. Moreover, the proposed method does not require any antenna array calibration process. This pre-despreading interference mitigation technique is further extended to maximize signal-to-noise ratio (SNR) of each individual authentic GNSS signal. Simulation results show that the proposed method effectively countermeasures spoofing attacks for a wide range of received spoofing power.","PeriodicalId":141678,"journal":{"name":"2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133917684","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 29
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