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On the consistency of likelihood penalization methods in large sensor networks

On the consistency of likelihood penalization methods in lar...

引用

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

作者： Vallet, Pascal Loubaton, Philippe Mestre, Xavier Lab Informat Gaspard Monge IGM 5 Bd Descartes F-77454 Marne La Vallee France CTTC Barcelona 08860 Spain

ISBN: (纸本)9781467310710

This paper is devoted to the problem of source detection with large sensor networks, in a context where the number of available samples N and the number of antennas M are of the same order of magnitude. We focus here on the popular likelihood penalization (LP) methods, such as Minimum Description Length (MDL) or Akaike Information Criterion (AIC). Such methods have been widely studied in the context where N >> M, and in particular the consistency of the MDL and the inconsistency of the AIC estimator were established in the asymptotic regime where N -> infinity while M remains constant. We propose here an analysis in the asymptotic regime where M, N both converge to infinity at the same rate, and using results from random matrix theory, we establish conditions on the penalty term to ensure consistency of LP methods in this latter regime. As a consequence, we deduce that the MDL method is always inconsistent while the AIC method can be consistent in certain situations.

关键词： sensor networks

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Low Complexity Beam Domain processing for Autoencoder Based CSI Compression 13

Low Complexity Beam Domain Processing for Autoencoder Based ...

引用

13rd IEEE sensor array and multichannel signal processing workshop (SAM)

作者： Ibrahim, Mohamed Salah Malhotra, Akshay InterDigital Commun Wilmington DE 19809 USA

ISBN: (纸本)9798350344820;9798350344813

In frequency division duplex (FDD) massive MIMO systems, each user equipment (UE) device typically feeds back downlink channel state information (CSI) to its serving base station (BS), which may then be utilized for beamforming and scheduling purposes. However, the large number of antennas increases the CSI signaling overhead in the uplink, thereby impacting the system's spectral efficiency. To address the feedback overhead problem, this paper proposes a low-complexity beam domain autoencoder that operates on low-dimensional beam domain channel samples. The key idea is to efficiently transform the channel from the antenna-domain to the beam-domain by selecting a small number of beams that preserve most of the channel information. To leverage the beam domain processor, we propose a beam selection method that enables high reconstruction quality with a small number of selected beams. The proposed framework offers a favorable balance between complexity, performance, and memory requirements. Simulations demonstrate the efficacy of the proposed approach in recovering the compressed channel at reduced overhead and complexity, relative to the state-of-the-art methods.

关键词： Frequency division multiplexing

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Distributed space-time codes in wireless relay networks

Distributed space-time codes in wireless relay networks

引用

3rd IEEE sensor array and multichannel signal processing workshop

作者： Jing, YD Hassibi, B CALTECH Dept Elect Engn Pasadena CA 91125 USA

ISBN: (纸本)0780385454

We apply the idea of space-time coding devised for multi le antenna systems to the communication over a wireless relay network. We use a two stage protocol, where in one stage the transmitter sends information and in the other, the relay nodes encode their received signals into a "distributed" linear dispersion code, and then transmit the coded signals to the receiver. We show that for high SNR the pairwise error probability (PEP) behaves as (log P/P)(min{T,R}), with T the coherence interval, R the number of relay nodes and P the total transmit power. Thus, apart from the log P factor and assuming T >= R, the system has the same diversity as a multi-antenna system with R transmit antennas, which is the same as assuming that the R relay nodes can fully It cooperate and have full knowledge of the transmitted signal. We further show that for a fixed total transmit power across the entire network, the optimal power allocation is for the transmitter to expend half the power and for the relays to collectively expend the other half. We also show that at low and high SNR, the coding gain is the same as that of a multi-antenna system with R antennas. At intermediate SNR, it can be quite different, which has implications for the design of distributed space-time codes.

关键词： Space time adaptive processing

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sensor management with uncertain performance characteristics

Sensor management with uncertain performance characteristics

引用

4th IEEE sensor array and multichannel signal processing workshop

作者： Kolba, Mark P. Collins, Leslie M. Duke Univ Elect & Comp Engn Dept Box 90291 Durham NC 27708 USA

ISBN: (纸本)1424403081

Previous work has presented an information-theoretic sensor management framework for the detection of static targets. This framework is based on the expected discrimination gain maximization technique of Kastella. The sensor manager searches for N targets within a grid of cells using M sensors, which may be thought of as a reconfigurable sensor array. sensor probabilities of detection and false alarm are used in the mathematical structure of the sensor manager, and these probabilities have previously been assumed to be certain. Realistic problems, however, will inevitably involve uncertainty. This paper introduces uncertain sensor P-d and P-f values into the mathematical framework and allows for their incorporation into the sequential structure of the sensor manager. The performance of the presented sensor management technique is then compared to direct search, where the sensors sweep through the grid in a predefined sampling pattern. The sensor manager is found to be superior to direct search when the uncertainty present in the problem is properly modeled. When uncertainty is present but not modeled, the performance of the sensor manager is severely degraded. This result indicates that uncertainty modeling will be important and necessary for the successful application of the presented sensor manager to real-world problems. Additional simulations examine the robustness of the sensor manager to errors in the assumed densities for P-d and P-f, and the performance of the sensor manager is found to remain strong even when the assumed P-d and P-f densities differ from the true densities.

关键词： sensor management discrimination gain uncertainty detection multimodal sensing

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DETECTION AND LOCALIZATION OF EMITTERS IN THE PRESENCE OF MULTIPATH USING A UNIFORM LINEAR ANTENNA array

DETECTION AND LOCALIZATION OF EMITTERS IN THE PRESENCE OF MU...

引用

IEEE sensor array and multichannel signal processing workshop

作者： Sarac, Ugur Harmanci, F. Kerem Akguel, Tayfun Istanbul Tech Univ Dept Elect & Commun Engn TR-80626 Istanbul Turkey Bogazici Univ Dept Elect & Elect Eng TR-80815 Bebek Turkey TUBITAK Natl Res Inst Elect & Cryptol Izmir Kocaeli Turkey TUBITAK Earth & Marine Sci Inst MRC Izmir Kocaeli Turkey

ISBN: (纸本)9781424422401

In this paper, we present a new application of the likelihood ratio test to solve the problem of enumeration and localization of multiple emitters (sources) with a uniform linear antenna array in a multi-path environment. First, spatial smoothing is applied to the antenna array data to decorrelate signals corresponding to each path in the estimated correlation matrix and the number of paths is then counted using an information theoretic criterion. Then, MUSIC is applied with this correlation matrix to estimate the angle of arrival of all possible incident paths. In our signal model, we assume that the correlation between signals from two paths is one if they originate from the same source but zero if they are from different sources. The likelihood ratio test is then applied to each path pair using this correlation model and the angles of arrival estimated by MUSIC in order to find out if the path pair originates from the same emitter, and hence the number of emitters and their angles of arrival are estimated. The proposed algorithm on the likelihood ratio test is compared with the correlation coefficient algorithm based on minimum variance beam-forming with a performance analysis.

关键词： Direction finding likelihood ratio antenna array MUSIC multipath

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Versatile robust Capon beamforming: Theory and applications

Versatile robust Capon beamforming: Theory and applications

引用

3rd IEEE sensor array and multichannel signal processing workshop

作者： Li, J Stoica, P Univ Florida Dept Elect & Comp Engn Gainesville FL 32611 USA

ISBN: (纸本)0780385454

The standard Capon beamformer (SCB) has better resolution and much better interference rejection capability than the data-independent beamformer, provided that the array steering vector corresponding to the signal-of-interest (SOI) is accurately known. However, whenever the knowledge of the SOI steering vector is imprecise (as is often the case in practice), the performance of the Capon beamformer may become worse than that of the data-independent beamformer. Most of the early suggested robust adaptive methods are rather ad hoe in that the choice of their parameters are not directly related to the uncertainty of the steering vector. In this paper we provide a review of the recently proposed robust Capon beamformer (RCB) and doubly constrained robust Capon beamformer (DCRCB), which directly address the uncertainty of the steering vector and naturally extend the covariance fitting formulation of SCB to the case of uncertain steering vectors by enforcing a double constraint on the steering vector, viz. a constant norm constraint and an uncertainty set constraint. We also present several extensions and applications of RCB including constant-powerwidth RCB (CPRCB) and constant-beamwidth RCB (CBRCB) for acoustic imaging, rank-deficient robust Capon filter-bank (RCF) approach for spectral estimation, and rank-deficient RCB for landmine detection using forward-looking ground penetrating radar (FLGPR) imaging systems. The excellent performances of RCB, DCRCB, and the various extensions of RCB are demonstrated by simulated and experimental examples.

关键词： signal processing

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Compound Interference Suppression for Bistatic FDA-MIMO Radar Based on Joint Two-Stage processing 12

Compound Interference Suppression for Bistatic FDA-MIMO Rada...

引用

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

作者： Sun, Wenhao Lan, Lan Liao, Guisheng Qi, Jiawei Xidian Univ Natl Key Lab Radar Signal Proc Xian 710071 Peoples R China

ISBN: (纸本)9781665406338

Frequency diverse array (FDA)-multiple-input multiple-output (MIMO) radar is characterized by extra degreesof-freedom (DOFs) in the range domain, which can be utilized in mainlobe deceptive jammer suppression. However, the jammer suppression performance degrades evidently in the presence of compound suppressive jamming signals and deceptive jammers. To this end, this paper deals with the suppression of compound interferences (including the suppressive jamming signals and deceptive jammers) in bistatic FDA-MIMO radar. At the design stage, a colocated FDA-MIMO radar is considered in node 1, while the node 2 serves as a receive-only array, which is configured as a distributed FDA-MIMO radar by combining with the transmit array in node 1. Then, a two-stage processing is performed to suppress the compound interferences, including: 1) the mainlobe maintenance processing to ensure the maximum response of the target;2) the suppression of mainlobe interferences with joint local and global processing. At the analysis stage, the output signal-to-interference-plus-noise ratio (SINR) is analyzed, and a comparison among different radar frameworks is carried out. Numerical results demonstrate the effectiveness of the proposed method in suppressing the compound interference.

关键词： Bistatic FDA-MIMO radar two-stage processing mainlobe interference suppression output SINR

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Joint DOD and DOA Estimation for bistatic MIMO Radar in the presence of Combined array Errors 10

Joint DOD and DOA Estimation for bistatic MIMO Radar in the ...

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10th IEEE sensor array and multichannel signal processing workshop (SAM)

作者： Wen, Fangqing Wu, Lei Cai, Changxin Huang, Dongmei Yangtze Univ Natl Demonstrat Ctr Expt Electrotech & Elect Educ Jingzhou 434023 Peoples R China Naval Command Coll Dept Training Management Nanjing 210016 Peoples R China

ISBN: (纸本)9781538647523

In this paper, we investigate into joint direction-of-departure (DOD) and direction-of-arrival (DOA) estimation for bistatic multiple-input multiple-output (MIMO) radar in the presence of gain-phase error and mutual coupling error. An auxiliary sensors-based framework is proposed, the matched array measurement of the MIMO radar is formulated as a parallel factor (PARAFAC) model, which links the problem of joint DOD and DOA estimation to PARAFAC decomposition. Thereafter, the DODs and DOAs are obtained via least square strategy. The proposed method is computationally more efficient than the existing reduced-MUSIC method. Besides, it can achieve closed-form solutions for DODs and DOAs, which are paired automatically. Numerical experiments demonstrate the effectiveness of our method.

关键词： multiple-input multiple-output radar direction estimation mutual coupling gain-phase error position error parallel factor analysis

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Maximum Privacy under Perfect Utility in sensor Networks 11

Maximum Privacy under Perfect Utility in Sensor Networks

引用

IEEE 11th sensor array and multichannel signal processing workshop (SAM)

作者： Wang, Chong Xiao Tay, Wee Peng Song, Yang Nanyang Technol Univ Sch Elect & Elect Engn Singapore Singapore

ISBN: (纸本)9781728119465

Each node or sensor in a network makes a local observation that is linearly related to a set of public and private parameters. The nodes send their observations to a fusion center to allow it to estimate a set of public parameters. However, the fusion center may also abuse this information to estimate other private parameters. To prevent leakage of the private parameters, each node first sanitizes its local observation using a local privacy mechanism before transmitting it to the fusion center. We consider the maximum privacy achievable under perfect utility in terms of the Cramer-Rao lower bounds. We propose a method to maximize the estimation error for inferring the private parameters while ensuring the estimation error for inferring the public parameters remains unchanged after sanitizing the sensors' measurements.

关键词： estimation privacy sensor networks decentralized system Cramer-Rao lower bound

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Compressive Sensing based Direction-of-Arrival Estimation in MIMO Radars in Presence of Strong Jamming via Blocking Matrix 10

Compressive Sensing based Direction-of-Arrival Estimation in...

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10th IEEE sensor array and multichannel signal processing workshop (SAM)

作者： Liu, Beiyi Gui, Guan Matsushita, Shin-ya Xu, Li Akita Prefectural Univ Dept Elect & Informat Syst Akita 0150055 Japan Nanjing Univ Posts & Telecommun Coll Telecommun & Informat Engn Nanjing 210003 Jiangsu Peoples R China

ISBN: (纸本)9781538647523

The performances of the traditional anti-jamming DOA methods for the colocated MIMO radar system will be seriously deteriorated when the number of the snapshots is small. In this paper, a compressive sensing (CS)-based anti-jamming DOA estimation with only a few snapshots is proposed. In the new DOA estimation, the information on the direction of strong jamming is used to construct a blocking matrix that can block the jamming component effectively. Hence, only the desired signal component is left after preprocessing with the blocking matrix. Then, the DOA estimation problem with a blocking matrix is formulated as a sparse recovery problem, and it is solved by the orthogonal matching pursuit (OMP) algorithm. We compare the proposed method with the traditional CS-based method and the traditional anti-jamming DOA methods. Numerical results demonstrate that the proposed method outperforms the traditional methods.

关键词： Jamming Direction-of-arrival estimation Estimation MIMO radar Sparse matrices sensor arrays Matching pursuit algorithms"

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