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11th ieee sensor array and multichannel signal processing workshop, sam 2020

ISBN: (纸本)9781728119465

the proceedings contain 162 papers. the topics discussed include: 2D DOA estimation for uniform rectangular array with one-bit measurement;3D parametric channel estimation for multi-user massive-MIMO OFDM systems;a blind direction of arrival and mutual coupling estimation scheme for nested array;a compressive sensing approach for single-snapshot adaptive beamforming;a general ESPRIT method for noncircularity-based incoherently distributed sources;a general framework for the robustness of structured difference coarrays to element failures;a gridless method for DOA estimation under the coexistence of mutual coupling and unknown nonuniform noise;a gridless wideband doa estimation based on atomic norm minimization;a new hyperspectral compressed sensing method for efficient satellite communications;a note on the maximum number of sources in DOA estimation by mode;and a novel NLOS target localization method with a synthetic bistatic MMW radar.

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2020 ieee the 11th sensor array and multichannel signal processing workshop(sam)

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计算机应用研究 2019年第10期 2876页

Jun.8～11,2020 Hangzhou,China Submission deadline:Dec.15,2019 ABOUT CONFERENCE the sam workshop is an important ieee signal processing Society event dedicated to sensor array and multichannel signal processing with about 200 *** organizing committee invites the international community to contribute with state-of-the-art developments in the field.

关键词： sensor ieee the 11th sensor array and multichannel signal processing workshop sam

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HIGH-RESOLUTION TARGET SENSING USING MULTI-FREQUENCY SPARSE array 11

HIGH-RESOLUTION TARGET SENSING USING MULTI-FREQUENCY SPARSE ...

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ieee 11th sensor array and multichannel signal processing workshop (sam)

作者： Ahmed, Ammar Silage, Dennis Zhang, Yimin D. Temple Univ Dept Elect & Comp Engn Philadelphia PA 19122 USA

ISBN: (纸本)9781728119465

In this paper, we discuss high-resolution target sensing through the exploitation of multi-frequency sparse array processing. By using simple design examples of a three-element sensor array coupled with the sensing signals consisting of three well-designed frequencies, we provide insights to achieve a high number of consecutive lags, unique lags, and array aperture. Such multi-frequency sensor arrays with reduced number of sensors can be attractive in many applications to achieve effective sensing with a low cost.

关键词： Sparse array multi-frequency sensing group sparsity DOA estimation

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Moving target detection of array antennas based on time reversal 11

Moving target detection of array antennas based on time reve...

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ieee 11th sensor array and multichannel signal processing workshop (sam)

作者： Zhang, Zhaoming Chen, Baixiao Yang, Minglei Xu, Hui Xidian Univ Natl Lab Radar Signal Proc Xian Peoples R China Xidian Univ Sch Elect Engn Xian Peoples R China

ISBN: (纸本)9781728119465

this paper develops a time reversal moving target detector based on array antennas. Time reversal utilizes the multipath effect by retransmitting the received signal containing the Doppler shift of the moving target. Two detectors are derived in both conventional and time reversal scenarios, respectively. the Monte Carlo results show that the time reversal detector significantly improves the target detection probability in multipath environments compared with the conventional detector. the increase of multipath number is helpful to improve the detection probability of time reversal detector.

关键词： time reversal moving target array antennas detection

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Precoding for RadComm Systems Based on Hybrid Antenna arrays 11

Precoding for RadComm Systems Based on Hybrid Antenna Arrays

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ieee 11th sensor array and multichannel signal processing workshop (sam)

作者： Feng, Freddy Y. P. Huang, Lei Shenzhen Univ Sch Informat Engn Shenzhen Peoples R China

ISBN: (纸本)9781728119465

Integrated wireless communications and radar detections have so far mainly relied on phased-array (PA) antennas with only considering the beampatterns in angle domain. By applying the frequency diverse array (FDA) into radar and communications (RadComm) systems, a compact dual-functional structure of joint PA and FDA is designed. Based on the built joint PA and FDA channel models, different beamformer designs are proposed by jointly optimizing the signal-to-interference-noises of the communications and radar. Numerical simulations demonstrate the performances of both communications and the radar with the proposed approaches are over than that of the conventional PA RadComm systems.

关键词： RadComm frequency divers array joint PA and FDA

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CHANCE CONSTRAINED BEAMFORMING FOR JOINT RADAR-COMMUNICATION SYSTEMS 11

CHANCE CONSTRAINED BEAMFORMING FOR JOINT RADAR-COMMUNICATION...

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ieee 11th sensor array and multichannel signal processing workshop (sam)

作者： Ahmed, Ammar Silage, Dennis Zhang, Yimin D. Temple Univ Dept Elect & Comp Engn Philadelphia PA 19122 USA

ISBN: (纸本)9781728119465

We present an intelligent sensor array-based joint radar-communication system which exploits chance constrained programming to develop a robust beamforming design. Probabilistic chance constraints are introduced for the communication operation where the communication objectives are achieved with a desired success rate in the presence of communication channel uncertainties. the chance constraint optimization is then relaxed to form a deterministic and convex problem by employing the statistical profile of the communication channels. Simulation results illustrate the performance of the proposed strategy.

关键词： Intelligent sensor arrays joint radar-communication system spectrum sharing robust beamforming chance constrained programming

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DOA ESTIMATION EXPLOITING INTERPOLATED MULTI-FREQUENCY SPARSE array 11

DOA ESTIMATION EXPLOITING INTERPOLATED MULTI-FREQUENCY SPARS...

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ieee 11th sensor array and multichannel signal processing workshop (sam)

作者： Zhang, Shuimei Ahmed, Ammar Zhang, Yimin D. Sun, Shunqiao Temple Univ Dept Elect & Comp Engn Philadelphia PA 19122 USA Univ Alabama Dept Elect & Comp Engn Tuscaloosa AL USA

ISBN: (纸本)9781728119465

We consider gridless direction-of-arrival (DOA) estimation of much more targets than the number of physical sensors through the exploitation of multi-frequency sparse array design and processing which increase the degrees of freedom as more frequency components are used. A modified sensor interpolation technique is developed to accurately estimate the signal covariance matrix using very few snapshots, thereby eliminating the requirement of a large number of snapshots as in conventional different coarray-based DOA estimation. Simulation results demonstrate high-resolution gridless DOA estimation capability of more targets than the number of physical sensors.

关键词： Sparse array multi-frequency sensing array interpolation direction-of-arrival estimation

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Computation of Weight Function of 2qth Order Virtual array to Analyse the Estimation Performance 11

Computation of Weight Function of 2qth Order Virtual Array t...

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ieee 11th sensor array and multichannel signal processing workshop (sam)

作者： Gupta, Payal Agrawal, Monika Indian Inst Technol Ctr Appl Res Elect New Delhi 110016 India

ISBN: (纸本)9781728119465

Increasing the number of sources to be processed from a given array of sensors is an important problem in sensor array signal processing and of interest to many researchers. this problem has also been tackled with the virtual array based approach where the covariance and cumulant lags provide a virtual sensor. Here, an important parameter which affects the parameter estimation accuracy and latency is weight function. the weight function is defined as the frequency of occurrence of each virtual sensor in the virtual array. We provide the close-form expression of virtual array corresponding to linear array. We have also analytically evaluated the weight function of virtual array and have also studied the effect of the weight function on parameter estimation. Simulation results show the parameter estimation accuracy is significantly improve with high weight function.

关键词： DoA estimation Non-circular signals Sparse array Virtual array Cumulants Underdetermined System Weight function Covariance Matrix

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2D DOA Estimation for Uniform Rectangular array With One-bit Measurement 11

2D DOA Estimation for Uniform Rectangular Array With One-bit...

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ieee 11th sensor array and multichannel signal processing workshop (sam)

作者： Xiong, Yang Li, Zeyang Wen, Fangqing Yangtze Univ Sch Elect & Informat Jingzhou Peoples R China

ISBN: (纸本)9781728119465

Direction-of-arrival (DOA) estimation is an interesting research topic with various applications. Existing algorithms provide superior estimation performance, at the cost of accurate quantified measurements. In this paper, we stress the problem of 2D DOA estimation for uniform rectangular array using one-bit measurements. the relationship between the covariance matrices of one-bit measurement and that of the accurately quantified measurement is analyzed in detail, from which we find the existing tensor algorithm can be directly applied. As a result, a one-bit parallel factor analysis (PARAFAC) estimator is proposed. Simulation results show the effectiveness of the proposed method.

关键词： One-bit quantification array signal processing parallel factor analysis (PARAFAC) 2D DOA estimation

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A Note on the Maximum Number of Sources in DOA Estimation by MODE 11

A Note on The Maximum Number of Sources in DOA Estimation by...

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ieee 11th sensor array and multichannel signal processing workshop (sam)

作者： Hamada, Shohei Ichige, Koichi Yokohama Natl Univ Dept Elect & Comp Engn Hodoga Ku 79-5 Tokiwadai Yokohama Kanagawa 2408501 Japan

ISBN: (纸本)9781728119465

this paper discusses the maximum number of sources when their direction of arrivals (DOAs) are estimated by the method of direction estimation (MODE), and presents a modified version of MODE that can estimate more number of sources than that by the original MODE. It is well-known that M-element array can basically estimate up to (M - 1) DOAs, however the application of MODE may reduce up to M/2 DOAs because of its computation procedure. We propose a novel DOA estimation method by modifying MODE to employ peak-search of the primary eigenvector beam patterns instead of the null-search in the original MODE. Performance of the proposed method is evaluated through computer simulation.

关键词： direction of arrival estimation MODE array signal processing number of sources

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