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DOA ESTIMATION EXPLOITING INTERPOLATED MULTI-FREQUENCY SPARSE array 11

DOA ESTIMATION EXPLOITING INTERPOLATED MULTI-FREQUENCY SPARS...

引用

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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Interference Mitigation in GNSS Receivers by array signal processing: A Software Radio Approach

Interference Mitigation in GNSS Receivers by Array Signal Pr...

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8th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Arribas, Javier Closas, Pau Fernandez-Prades, Carles CTTC Castelldefels 08860 Spain

ISBN: (纸本)9781479914814

The fact that most of high-accuracy positioning and distributed timing services, including safety-critical operations, rely on Global Navigation Satellite Systems (GNSS) has raised the concern of possible denial-of-service situations. Complementary to time-and frequency-domain mitigation techniques, it is well known that antenna-array based receivers can benefit from spatial domain processing and effectively mitigate unintentional and intentional Radio Frequency Interferences (RFIs). In this work, we propose a software-based GNSS receiver architecture that implements a real-time, array-based signal acquisition algorithm based on the Generalized Likelihood Ratio Test, combined with a null-steering spatial filter for signal tracking, showing its RFI rejection capabilities.

关键词： disturbance suppression likelihood ratio test Global Navigation Satellite System Receivers Software radio Spatial filters array signal processing precise registration

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The properties of adaptive algorithms with time varying weights

The properties of adaptive algorithms with time varying weig...

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1st ieee sensor array and multichannel signal processing workshop (SAM 2000)

作者： Zatman, M MIT Lincoln Lab Lexington MA 02420 USA

ISBN: (纸本)0780363396

Most adaptive array processing schemes assume that the interference is 'wide sense stationary'. However, in practice this assumption is often violated. For example there may be motion of either the array and/or the interference during the processing interval. The asymptotic performance of two adaptive beamforming algorithms which compensate for this type of changing interference scenario are analyzed in this paper.

关键词： Adaptive algorithm Adaptive arrays Algorithm design and analysis array signal processing Covariance matrix Interference Laboratories Performance analysis signal to noise ratio Vectors

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LOCALIZATION IN sensor NETWORKS - A MATRIX REGRESSION APPROACH

LOCALIZATION IN SENSOR NETWORKS - A MATRIX REGRESSION APPROA...

引用

ieee sensor array and multichannel signal processing workshop

作者： Honeine, Paul Richard, Cedric Essoloh, Mehdi Snoussi, Hichem Univ Technol Troyes CNRS Inst Charles Delaunay FRE 2848LM2S F-10010 Troyes France

ISBN: (纸本)9781424422401

In this paper, we propose a new approach to sensor localization problems, based on recent developments in machine leaning. The main idea behind it is to consider a matrix regression method between the ranging matrix and the matrix of inner products between positions of sensors, in order to complete the latter. Once we have learnt this regression from information between sensors of known positions (beacons), we apply it to sensors of unknown positions. Retrieving the estimated positions of the latter can be done by solving a linear system. We propose a distributed algorithm, where each sensor positions itself with information available from its nearby beacons. The proposed method is validated by experimentations.

关键词： Regression analysis

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Precoding for RadComm Systems Based on Hybrid Antenna arrays 11

Precoding for RadComm Systems Based on Hybrid Antenna Arrays

引用

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...

引用

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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Taylor-series technique for source localization using AoAs in the presence of sensor location errors

Taylor-series technique for source localization using AoAs i...

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4th ieee sensor array and multichannel signal processing workshop

作者： Lu, Xiaoning Ho, K. C. Univ Missouri Dept Elect & Comp Engn Columbia MO 65211 USA

ISBN: (纸本)1424403081

Source location accuracy can be dramatically degraded by the inaccuracy in the sensor positions. The sensor position errors need to be taken into account in order to improve the source location estimate. This paper presents an algorithm based on the Taylor-series technique to estimate the location of an emitting source in the presence of random sensor position errors, where the data measurements are angle-of-arrivals (AoAs). The proposed algorithm jointly estimates the source and sensor positions iteratively by using Taylor-series linearization. Simulation results indicate that the proposed method approaches the CRLB accuracy for both near-field and far-field sources.

关键词： Taylor series

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Sparse Channel Estimation for IRS-Aided Systems Exploiting 2-D Sparse arrays 12

Sparse Channel Estimation for IRS-Aided Systems Exploiting 2...

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ieee 12th sensor array and multichannel signal processing workshop (SAM)

作者： Haider, Mirza Asif Chowdhury, Md. Waqeeb T. S. Zhang, Yimin D. Temple Univ Dept Elect & Comp Engn Philadelphia PA 19122 USA

ISBN: (纸本)9781665406338

Intelligent reflecting surface (IRS) is a promising next-generation technology for increasing channel capacity and reducing power consumption. In this paper, we present a novel IRS configuration consisting of a small number of active elements in an optimized L-shaped sparse array to separately estimate the channels between the base station and the IRS, and the channel between multiple user equipment and the IRS. Structured matrix completion techniques are used to attain superior direction-ofarrival estimation performance with an increased number of degrees of freedom. The training overhead is minimized in the proposed system and is not directly related to the number of IRS reflecting elements. The proposed sparse array strategy simultaneously resolves multiple sources with a high accuracy and outperforms the L-shaped uniform array counterpart using the same number of active elements. The effectiveness of the proposed strategy is confirmed using simulation results.

关键词： Intelligent reflecting surface active elements sparse array structured matrix completion channel estimation

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A Game-Theoretic Approach for Energy-Efficient Detection in Radar sensor Networks

A Game-Theoretic Approach for Energy-Efficient Detection in ...

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ieee 7th sensor array and multichannel signal processing workshop (SAM)

作者： Bacci, Giacomo Sanguinetti, Luca Greco, Maria S. Luise, Marco Univ Pisa Dipartimento Ingn Informaz I-56122 Pisa Italy

ISBN: (纸本)9781467310710

In this work, we propose a distributed power control algorithm able to capture the tradeoff between detection capabilities and power consumption for a radar sensor network. This is achieved by modeling the radar sensors as rational agents engaging in a noncooperative game in which the detection threshold and the transmit power are properly designed according to the Nash equilibrium solution. An iterative algorithm based on a best-response dynamics is proposed to achieve the equilibrium point and its performance is compared to that achieved by a uniform power allocation.

关键词： Energy efficiency

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NEW SUBSPACE UPDATING ALGORITHM FOR ADAPTIVE DIRECTION ESTIMATION AND TRACKING AND ITS STATISTICAL ANALYSIS

NEW SUBSPACE UPDATING ALGORITHM FOR ADAPTIVE DIRECTION ESTIM...

引用

ieee sensor array and multichannel signal processing workshop

作者： Xin, Jingmin Zheng, Nanning Sano, Akira Xi An Jiao Tong Univ Inst Artificial Intelligence & Robot Xian 710049 Peoples R China Keio Univ Dept Syst Design Engn Yokohama Kanagawa 2238522 Japan

ISBN: (纸本)9781424422401

Subspace estimation is of importance to high-resolution direction estimation in array processing. In this paper, a new recursive least-squares (RLS) algorithm is proposed for null space estimation, which is used to estimate or track the directions of coherent and/or incoherent signals impinging on a uniform linear array (ULA). Especially by investigating the expectation computation of an inverse matrix, the statistical analysis of the RLS algorithm is studied in the mean and mean-squares senses in stationary environment, and further the mean-square-error (MSE) and mean-square derivation (MSD) learning curves are derived explicitly. The theoretical analyses and effectiveness of the proposed RLS algorithm are substantiated through numerical examples.

关键词： array processing

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