Eurasip Journal on Advances in Signal Processing最新文献_第6页

Computable performance guarantees for compressed sensing matrices. 压缩传感矩阵的可计算性能保证

IF 1.9 4区工程技术

Eurasip Journal on Advances in Signal Processing Pub Date : 2018-01-01 Epub Date: 2018-02-27 DOI: 10.1186/s13634-018-0535-y

Myung Cho, Kumar Vijay Mishra, Weiyu Xu

引用次数: 0

Position estimation with a millimeter-wave massive MIMO system based on distributed steerable phased antenna arrays. 基于分布式可控相控阵的毫米波海量MIMO系统位置估计。

IF 1.9 4区工程技术

Eurasip Journal on Advances in Signal Processing Pub Date : 2018-01-01 Epub Date: 2018-06-05 DOI: 10.1186/s13634-018-0553-9

Nenad Vukmirović, Miloš Janjić, Petar M Djurić, Miljko Erić

{"title":"Position estimation with a millimeter-wave massive MIMO system based on distributed steerable phased antenna arrays.","authors":"Nenad Vukmirović, Miloš Janjić, Petar M Djurić, Miljko Erić","doi":"10.1186/s13634-018-0553-9","DOIUrl":"https://doi.org/10.1186/s13634-018-0553-9","url":null,"abstract":"In this paper, we propose a massive MIMO (multiple-input-multiple-output) architecture with distributed steerable phased antenna subarrays for position estimation in the mmWave range. We also propose localization algorithms and a multistage/multiresolution search strategy that resolve the problem of high side lobes, which is inherent in spatially coherent localization. The proposed system is intended for use in line-of-sight indoor environments. Time synchronization between the transmitter and the receiving system is not required, and the algorithms can also be applied to a multiuser scenario. The simulation results for the line-of-sight-only and specular multipath scenarios show that the localization error is only a small fraction of the carrier wavelength and that it can be achieved under reasonable system parameters including signal-to-noise ratios, antenna number/placement, and subarray apertures. The proposed concept has the potential of significantly improving the capacity and spectral/energy efficiency of future mmWave massive MIMO systems.","PeriodicalId":49203,"journal":{"name":"Eurasip Journal on Advances in Signal Processing","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s13634-018-0553-9","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36223997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 14

Joint source and relay optimization for interference MIMO relay networks. 干扰MIMO中继网络的联合源与中继优化。

IF 1.9 4区工程技术

Eurasip Journal on Advances in Signal Processing Pub Date : 2017-01-01 Epub Date: 2017-03-07 DOI: 10.1186/s13634-017-0453-4

Muhammad R A Khandaker, Kai-Kit Wong

引用次数: 6

MapReduce particle filtering with exact resampling and deterministic runtime. MapReduce粒子滤波与精确的重采样和确定性的运行时。

IF 1.9 4区工程技术

Eurasip Journal on Advances in Signal Processing Pub Date : 2017-01-01 Epub Date: 2017-10-18 DOI: 10.1186/s13634-017-0505-9

Jeyarajan Thiyagalingam, Lykourgos Kekempanos, Simon Maskell

{"title":"MapReduce particle filtering with exact resampling and deterministic runtime.","authors":"Jeyarajan Thiyagalingam, Lykourgos Kekempanos, Simon Maskell","doi":"10.1186/s13634-017-0505-9","DOIUrl":"https://doi.org/10.1186/s13634-017-0505-9","url":null,"abstract":"Particle filtering is a numerical Bayesian technique that has great potential for solving sequential estimation problems involving non-linear and non-Gaussian models. Since the estimation accuracy achieved by particle filters improves as the number of particles increases, it is natural to consider as many particles as possible. MapReduce is a generic programming model that makes it possible to scale a wide variety of algorithms to Big data. However, despite the application of particle filters across many domains, little attention has been devoted to implementing particle filters using MapReduce. In this paper, we describe an implementation of a particle filter using MapReduce. We focus on a component that what would otherwise be a bottleneck to parallel execution, the resampling component. We devise a new implementation of this component, which requires no approximations, has O(N) spatial complexity and deterministic O((logN)2) time complexity. Results demonstrate the utility of this new component and culminate in consideration of a particle filter with 224 particles being distributed across 512 processor cores.","PeriodicalId":49203,"journal":{"name":"Eurasip Journal on Advances in Signal Processing","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s13634-017-0505-9","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37603016","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

A novel aliasing-free subband information fusion approach for wideband sparse spectral estimation. 宽带稀疏谱估计中一种新的无混叠子带信息融合方法。

IF 1.9 4区工程技术

Eurasip Journal on Advances in Signal Processing Pub Date : 2017-01-01 Epub Date: 2017-08-23 DOI: 10.1186/s13634-017-0494-8

Ji-An Luo, Xiao-Ping Zhang, Zhi Wang

引用次数: 4

Distributed Gram-Schmidt orthogonalization with simultaneous elements refinement. 同时元素细化的分布式Gram-Schmidt正交化。

IF 1.9 4区工程技术

Eurasip Journal on Advances in Signal Processing Pub Date : 2016-01-01 Epub Date: 2016-02-24 DOI: 10.1186/s13634-016-0322-6

Ondrej Slučiak, Hana Straková, Markus Rupp, Wilfried Gansterer

引用次数: 3

Robust adaptive filtering using recursive weighted least squares with combined scale and variable forgetting factors. 结合尺度和可变遗忘因子的递推加权最小二乘鲁棒自适应滤波。

IF 1.9 4区工程技术

Eurasip Journal on Advances in Signal Processing Pub Date : 2016-01-01 Epub Date: 2016-03-31 DOI: 10.1186/s13634-016-0341-3

Branko Kovačević, Zoran Banjac, Ivana Kostić Kovačević

引用次数: 1

A parameter estimation algorithm for LFM/BPSK hybrid modulated signal intercepted by Nyquist folding receiver. 奈奎斯特折叠接收机截获LFM/BPSK混合调制信号的参数估计算法。

IF 1.9 4区工程技术

Eurasip Journal on Advances in Signal Processing Pub Date : 2016-01-01 Epub Date: 2016-08-18 DOI: 10.1186/s13634-016-0387-2

Zhaoyang Qiu, Pei Wang, Jun Zhu, Bin Tang

{"title":"A parameter estimation algorithm for LFM/BPSK hybrid modulated signal intercepted by Nyquist folding receiver.","authors":"Zhaoyang Qiu, Pei Wang, Jun Zhu, Bin Tang","doi":"10.1186/s13634-016-0387-2","DOIUrl":"https://doi.org/10.1186/s13634-016-0387-2","url":null,"abstract":"Nyquist folding receiver (NYFR) is a novel ultra-wideband receiver architecture which can realize wideband receiving with a small amount of equipment. Linear frequency modulated/binary phase shift keying (LFM/BPSK) hybrid modulated signal is a novel kind of low probability interception signal with wide bandwidth. The NYFR is an effective architecture to intercept the LFM/BPSK signal and the LFM/BPSK signal intercepted by the NYFR will add the local oscillator modulation. A parameter estimation algorithm for the NYFR output signal is proposed. According to the NYFR prior information, the chirp singular value ratio spectrum is proposed to estimate the chirp rate. Then, based on the output self-characteristic, matching component function is designed to estimate Nyquist zone (NZ) index. Finally, matching code and subspace method are employed to estimate the phase change points and code length. Compared with the existing methods, the proposed algorithm has a better performance. It also has no need to construct a multi-channel structure, which means the computational complexity for the NZ index estimation is small. The simulation results demonstrate the efficacy of the proposed algorithm.","PeriodicalId":49203,"journal":{"name":"Eurasip Journal on Advances in Signal Processing","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s13634-016-0387-2","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34720437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 17

Data Fusion for Improved Respiration Rate Estimation. 改进呼吸速率估计的数据融合。

IF 1.9 4区工程技术

Eurasip Journal on Advances in Signal Processing Pub Date : 2010-01-01 DOI: 10.1155/2010/926305

Shamim Nemati, Atul Malhotra, Gari D Clifford

{"title":"Data Fusion for Improved Respiration Rate Estimation.","authors":"Shamim Nemati, Atul Malhotra, Gari D Clifford","doi":"10.1155/2010/926305","DOIUrl":"https://doi.org/10.1155/2010/926305","url":null,"abstract":"We present an application of a modified Kalman-Filter (KF) framework for data fusion to the estimation of respiratory rate from multiple physiological sources which is robust to background noise. A novel index of the underlying signal quality of respiratory signals is presented and then used to modify the noise covariance matrix of the KF which discounts the effect of noisy data. The signal quality index, together with the KF innovation sequence, is also used to weight multiple independent estimates of the respiratory rate from independent KFs. The approach is evaluated on both a realistic artificial ECG model (with real additive noise), and on real data taken from 30 subjects with overnight polysomnograms, containing ECG, respiration and peripheral tonometry waveforms from which respiration rates were estimated. Results indicate that our automated voting system can out-perform any individual respiration rate estimation technique at all levels of noise and respiration rates exhibited in our data. We also demonstrate that even the addition of a noisier extra signal leads to an improved estimate using our framework. Moreover, our simulations demonstrate that different ECG respiration extraction techniques have different error profiles with respect to the respiration rate, and therefore a respiration rate-related modification of any fusion algorithm may be appropriate.","PeriodicalId":49203,"journal":{"name":"Eurasip Journal on Advances in Signal Processing","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2010-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1155/2010/926305","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9869529","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 110