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Polynomial subspace decomposition for broadband angle of arrival estimation 宽带到达角估计的多项式子空间分解
2014 Sensor Signal Processing for Defence (SSPD) Pub Date : 2014-11-03 DOI: 10.1109/SSPD.2014.6943305
Mohamed A. Alrmah, J. Corr, A. Alzin, K. Thompson, Stephan Weiss
{"title":"Polynomial subspace decomposition for broadband angle of arrival estimation","authors":"Mohamed A. Alrmah, J. Corr, A. Alzin, K. Thompson, Stephan Weiss","doi":"10.1109/SSPD.2014.6943305","DOIUrl":"https://doi.org/10.1109/SSPD.2014.6943305","url":null,"abstract":"In this paper we study the impact of polynomial or broadband subspace decompositions on any subsequent processing, which here uses the example of a broadband angle of arrival estimation technique using a recently proposed polynomial MUSIC (P-MUSIC) algorithm. The subspace decompositions are performed by iterative polynomial EVDs, which differ in their approximations to diagonalise and spectrally majorise s apce-time covariance matrix.We here show that a better diagonalisation has a significant impact on the accuracy of defining broadband signal and noise subspaces, demonstrated by a much higher accuracy of the P-MUSIC spectrum.","PeriodicalId":133530,"journal":{"name":"2014 Sensor Signal Processing for Defence (SSPD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127638166","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: 12
Reducing false alarms in automated target recognition using local sea-floor characteristics 利用局部海底特征减少目标自动识别中的虚警
2014 Sensor Signal Processing for Defence (SSPD) Pub Date : 2014-11-03 DOI: 10.1109/SSPD.2014.6943308
O. Daniell, Y. Pétillot, S. Reed, J. Vázquez, Andrea Frau
{"title":"Reducing false alarms in automated target recognition using local sea-floor characteristics","authors":"O. Daniell, Y. Pétillot, S. Reed, J. Vázquez, Andrea Frau","doi":"10.1109/SSPD.2014.6943308","DOIUrl":"https://doi.org/10.1109/SSPD.2014.6943308","url":null,"abstract":"This paper describes the use of local sea-floor characteristics to train a neural network to remove false alarms from an Automatic Target Recognition (ATR) algorithm. We demonstrate that this reduces the Probability of False Alarm (PFA) in difficult areas without impacting the Probability of Detection (PD) in flat areas. The sea-floor characteristics are calculated from the texture and appearance of clutter on the seafloor. Textural characteristics are extracted using a Dual Tree Wavelet (DTW) transform. Highlight and shadow regions are segmented using Markov Random Field (MRF) and graph cuts. Clutter density and height are calculated from the segmented image. The method is tested by training a neural network to filter the detections from a Haar cascade ATR algorithm. The neural network is trained on the ATR response and the seafloor characteristics. On Synthetic Aperture Sonar (SAS) data we report an average reduction of 50% in the false alarm rate over that of the ATR algorithm. The processing time for an 8000×3000 pixel image is approximately 1 second.","PeriodicalId":133530,"journal":{"name":"2014 Sensor Signal Processing for Defence (SSPD)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116336404","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: 13
Degradation of covariance reconstruction-based robust adaptive beamformers 基于协方差重构的鲁棒自适应波束形成器退化
2014 Sensor Signal Processing for Defence (SSPD) Pub Date : 2014-11-03 DOI: 10.1109/SSPD.2014.6943304
S. Somasundaram, A. Jakobsson
{"title":"Degradation of covariance reconstruction-based robust adaptive beamformers","authors":"S. Somasundaram, A. Jakobsson","doi":"10.1109/SSPD.2014.6943304","DOIUrl":"https://doi.org/10.1109/SSPD.2014.6943304","url":null,"abstract":"We show that recent robust adaptive beamformers, based on reconstructing either the noise-plus-interference or the data covariance matrices, are sensitive to the noise-plus-interference structure and degrade in the typical case when interferer steering vector mismatch exists, often performing much worse than common diagonally loaded sample covariance matrix based approaches, even when signal-of-interest steering vector mismatch is absent.","PeriodicalId":133530,"journal":{"name":"2014 Sensor Signal Processing for Defence (SSPD)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116393620","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: 15
Quantized fusion rules for energy-based distributed detection in wireless sensor networks 基于能量的无线传感器网络分布式检测的量化融合规则
2014 Sensor Signal Processing for Defence (SSPD) Pub Date : 2014-11-03 DOI: 10.1109/SSPD.2014.6943313
Edmond Nurellari, S. Aldalahmeh, M. Ghogho, D. McLernon
{"title":"Quantized fusion rules for energy-based distributed detection in wireless sensor networks","authors":"Edmond Nurellari, S. Aldalahmeh, M. Ghogho, D. McLernon","doi":"10.1109/SSPD.2014.6943313","DOIUrl":"https://doi.org/10.1109/SSPD.2014.6943313","url":null,"abstract":"We consider the problem of soft decision fusion in a bandwidth-constrained wireless sensor network (WSN). The WSN is tasked with the detection of an intruder transmitting an unknown signal over a fading channel. A binary hypothesis testing is performed using the soft decision of the sensor nodes (SNs). Using the likelihood ratio test, the optimal soft fusion rule at the fusion center (FC) has been shown to be the weighted distance from the soft decision mean under the null hypothesis. But as the optimal rule requires a-priori knowledge that is difficult to attain in practice, suboptimal fusion rules are proposed that are realizable in practice. We show how the effect of quantizing the test statistic can be mitigated by increasing the number of SN samples, i.e., bandwidth can be traded off against increased latency. The optimal power and bit allocation for the WSN is also derived. Simulation results show that SNs with good channels are allocated more bits, while SNs with poor channels are censored.","PeriodicalId":133530,"journal":{"name":"2014 Sensor Signal Processing for Defence (SSPD)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125017341","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
Performance metric in closed-loop sensor management for stochastic populations 随机种群闭环传感器管理中的性能度量
2014 Sensor Signal Processing for Defence (SSPD) Pub Date : 2014-11-03 DOI: 10.1109/SSPD.2014.6943322
E. Delande, J. Houssineau, Daniel E. Clark
{"title":"Performance metric in closed-loop sensor management for stochastic populations","authors":"E. Delande, J. Houssineau, Daniel E. Clark","doi":"10.1109/SSPD.2014.6943322","DOIUrl":"https://doi.org/10.1109/SSPD.2014.6943322","url":null,"abstract":"Methods for sensor control are crucial for modern surveillance and sensing systems to enable efficient allocation and prioritisation of resources. The framework of partially observed Markov decision processes enables decisions to be made based on data received by the sensors within an information-theoretic context. This work addresses the problem of closed-loop sensor management in a multi-target surveillance context where each target is assumed to move independently of other targets. Analytic expressions of the information gain are obtained, for a class of exact multi-target tracking filters are obtained and based on the Rényi divergence. The proposed method is sufficiently general to address a broad range of sensor management problems through the application-specific reward function defined by the operator.","PeriodicalId":133530,"journal":{"name":"2014 Sensor Signal Processing for Defence (SSPD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129123364","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: 7
Cyclic-by-row approximation of iterative polynomial EVD algorithms 迭代多项式EVD算法的逐行循环逼近
2014 Sensor Signal Processing for Defence (SSPD) Pub Date : 2014-11-03 DOI: 10.1109/SSPD.2014.6943330
J. Corr, K. Thompson, Stephan Weiss, J. McWhirter, I. Proudler
{"title":"Cyclic-by-row approximation of iterative polynomial EVD algorithms","authors":"J. Corr, K. Thompson, Stephan Weiss, J. McWhirter, I. Proudler","doi":"10.1109/SSPD.2014.6943330","DOIUrl":"https://doi.org/10.1109/SSPD.2014.6943330","url":null,"abstract":"A recent class of sequential matrix diagonalisation (SMD) algorithms have been demonstrated to provide a fast converging solution to iteratively approximating the polynomial eigenvalue decomposition of a parahermitian matrix. However, the calculation of an EVD, and the application of a full unitary matrix to every time lag of the parahermitian matrix in the SMD algorithm results in a high numerical cost. In this paper, we replace the EVD with a limited number of Givens rotations forming a cyclic-by-row Jacobi sweep. Simulations indicate that a considerable reduction in computational complexity compared to SMD can be achieved with a negligible sacrifice in diagonalisation performance, such that the benefits in applying the SMD are maintained.","PeriodicalId":133530,"journal":{"name":"2014 Sensor Signal Processing for Defence (SSPD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128790766","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
Game theoretic power allocation for a multistatic radar network in the presence of estimation error 存在估计误差时多基地雷达网络的博弈论功率分配
2014 Sensor Signal Processing for Defence (SSPD) Pub Date : 2014-11-03 DOI: 10.1109/SSPD.2014.6943316
Anastasia Panoui, S. Lambotharan, J. Chambers
{"title":"Game theoretic power allocation for a multistatic radar network in the presence of estimation error","authors":"Anastasia Panoui, S. Lambotharan, J. Chambers","doi":"10.1109/SSPD.2014.6943316","DOIUrl":"https://doi.org/10.1109/SSPD.2014.6943316","url":null,"abstract":"We investigate distributed power allocation techniques for a multistatic multi-input and multi-output (MIMO) radar network based on a game theoretic framework. We consider a network of radars grouped into clusters that aim to attain a specific signal-to-disturbance ratio (SDR) while using minimum possible total transmission power. We consider game theoretic power adaptation based on the estimate of SDR, so that there is no communication requirement between radars in the clusters. We demonstrate equilibrium convergence of the non-cooperative game theoretic algorithm even in the presence of estimation error for the SDR.","PeriodicalId":133530,"journal":{"name":"2014 Sensor Signal Processing for Defence (SSPD)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123621046","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: 16
Transmit beamforming design for two-dimensional phased-MIMO radar with fully-overlapped subarrays 具有完全重叠子阵的二维相控mimo雷达发射波束形成设计
2014 Sensor Signal Processing for Defence (SSPD) Pub Date : 2014-11-03 DOI: 10.1109/SSPD.2014.6943318
Anastasios Deligiannis, J. Chambers, S. Lambotharan
{"title":"Transmit beamforming design for two-dimensional phased-MIMO radar with fully-overlapped subarrays","authors":"Anastasios Deligiannis, J. Chambers, S. Lambotharan","doi":"10.1109/SSPD.2014.6943318","DOIUrl":"https://doi.org/10.1109/SSPD.2014.6943318","url":null,"abstract":"We investigate a subaperturing technique for two-dimensional (2D) transmit arrays within the context of multiple-input multiple-output (MIMO) radar. Specifically, we investigate the performance of transmit beamforming using fully overlapped subarrays of a 2D transmit array. As reported for linear array of antennas, this 2D transmit array exploits the advantages of the MIMO radar technology without sacrificing the coherent processing gain at the transmit side provided by the phased-array concept. In order to achieve high coherent processing gain, a weight vector should be designed for each subarray to steer the transmit beam in certain 2D sector in space. This is achieved by solving a convex optimization problem that minimizes the difference between a desired transmit beampattern and the actual beampattern produced by the 2D array of antennas, under a constraint in terms of uniform power allocation across the transmit antennas.","PeriodicalId":133530,"journal":{"name":"2014 Sensor Signal Processing for Defence (SSPD)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126301047","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
Truncated unscented particle filter for dealing with non-linear inequality constraints 处理非线性不等式约束的截断无气味粒子滤波
2014 Sensor Signal Processing for Defence (SSPD) Pub Date : 2014-11-03 DOI: 10.1109/SSPD.2014.6943325
Miao Yu, Wen‐Hua Chen, J. Chambers
{"title":"Truncated unscented particle filter for dealing with non-linear inequality constraints","authors":"Miao Yu, Wen‐Hua Chen, J. Chambers","doi":"10.1109/SSPD.2014.6943325","DOIUrl":"https://doi.org/10.1109/SSPD.2014.6943325","url":null,"abstract":"This paper addresses state estimation where domain knowledge is represented by non-linear inequality constraints. To cope with non-Gaussian state distribution caused by the utilisation of domain knowledge, a truncated unscented particle filter method is proposed in this paper. Different from other particle filtering schemes, a truncated unscented Kalman filter is adopted as the importance function for sampling new particles in the proposed truncated unscented particle scheme. Consequently more effective particles are generated and a better state estimation result is then obtained. The advantages of the proposed truncated unscented particle filter algorithm over the state-of-the-art particle filters are demonstrated through Monte-Carlo simulations.","PeriodicalId":133530,"journal":{"name":"2014 Sensor Signal Processing for Defence (SSPD)","volume":"144 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133335106","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: 5
An efficient implementation of the low-complexity multi-coset sub-Nyquist wideband radar electronic surveillance 一种低复杂度多余波集亚奈奎斯特宽带雷达电子监视的有效实现方法
2014 Sensor Signal Processing for Defence (SSPD) Pub Date : 2014-11-03 DOI: 10.1109/SSPD.2014.6943320
Mehrdad Yaghoobi, B. Mulgrew, M. Davies
{"title":"An efficient implementation of the low-complexity multi-coset sub-Nyquist wideband radar electronic surveillance","authors":"Mehrdad Yaghoobi, B. Mulgrew, M. Davies","doi":"10.1109/SSPD.2014.6943320","DOIUrl":"https://doi.org/10.1109/SSPD.2014.6943320","url":null,"abstract":"The problem of efficient sampling of wideband radar signals for Electronic Surveillance (ES) using a parallel sampling structure will be investigated in this paper. Wideband radio frequency sampling, which is a necessary component of the modern digital radar surveillance systems, needs a sampling rate at least twice the maximum frequency of signals, i.e. Nyquist rate, which is generally very high. Designing an analog to digital converter which works with such a high sampling rate is difficult and expensive. The standard wideband ES receivers use the rapidly swept superheterodyne technique, which selects a subband of the spectrum at a time, while iterating through the whole spectrum sequentially. Such a technique does not explore the underlying structure of input RF signals. When the signal is sparsely structured, we can use the fact that signals do not occupy the whole spectrum. There indeed exists a parsimonious structure in the time-frequency domain in radar ES signals. We here use a recently introduced low-complexity sampling system, called LoCoMC [1], which is inspired by the compressive sampling (CS) of sparse signals and it uses the multi-coset sampling structure, while it does not involve a computationally expensive reconstruction step. A new implementation technique is here introduced, which further reduces the computational cost of the reconstruction algorithm by combining two filters, while improving the accuracy by implicitly implementing an infinite length filter. We also describe the rapidly swept superheterodyne receiver and compare it with the LoCoMC algorithm. In a contrast to the former technique, LoCoMC continuously monitors the spectrum, which makes it much more robust in the short pulse detection.","PeriodicalId":133530,"journal":{"name":"2014 Sensor Signal Processing for Defence (SSPD)","volume":"137 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127498550","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
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