TY - GEN
T1 - Distributed detection of moving target using MIMO radar in clutter with non-homogeneous power
AU - Wang, Pu
AU - Li, Hongbin
AU - Himed, Braham
PY - 2011
Y1 - 2011
N2 - Previously, we studied moving target detection (MTD) using a distributed MIMO radar, where the multi-static transmit-receive configuration causes non-homogeneous clutter. By representing the non-homogeneous clutter in a low-rank subspace with different subspace coefficients for different transmit-receive pairs, a generalized likelihood ratio test (GLRT), which is referred to as the MIMO-GLRT, was introduced. The MIMO-GLRT, however, is a centralized detector requiring the distributed receivers to send their local observations to a fusion center, which performs parameter estimation and computes a global test variable. In this paper, we consider distributed detection for the moving target problem. The goal is to reduce the communication overhead as well as power/bandwidth consumptions from the receivers to the fusion center. We consider two distributed implementations of the MIMO-GLRT, with or without local data aggregation. Specifically, the one that performs local aggregation computes a single local test statistic at each receive antenna, by using the outputs of all matched filters (each matched to a waveform unique to one transmit antenna); meanwhile, the one that does not perform local aggregation computes multiple local test statistics, one for each matched filter output. In both cases, the local unquantized test statistics from all receive antennas are forwarded to the fusion center and non-coherently combined to form a final test variable. Simulation results are provided to illustrate the performance loss with respect to the centralized MIMO-GLRT and compare with another distributed MIMO moving target detector based on a homogeneous assumption.
AB - Previously, we studied moving target detection (MTD) using a distributed MIMO radar, where the multi-static transmit-receive configuration causes non-homogeneous clutter. By representing the non-homogeneous clutter in a low-rank subspace with different subspace coefficients for different transmit-receive pairs, a generalized likelihood ratio test (GLRT), which is referred to as the MIMO-GLRT, was introduced. The MIMO-GLRT, however, is a centralized detector requiring the distributed receivers to send their local observations to a fusion center, which performs parameter estimation and computes a global test variable. In this paper, we consider distributed detection for the moving target problem. The goal is to reduce the communication overhead as well as power/bandwidth consumptions from the receivers to the fusion center. We consider two distributed implementations of the MIMO-GLRT, with or without local data aggregation. Specifically, the one that performs local aggregation computes a single local test statistic at each receive antenna, by using the outputs of all matched filters (each matched to a waveform unique to one transmit antenna); meanwhile, the one that does not perform local aggregation computes multiple local test statistics, one for each matched filter output. In both cases, the local unquantized test statistics from all receive antennas are forwarded to the fusion center and non-coherently combined to form a final test variable. Simulation results are provided to illustrate the performance loss with respect to the centralized MIMO-GLRT and compare with another distributed MIMO moving target detector based on a homogeneous assumption.
KW - Multiple-input multiple-output (MIMO) radar
KW - distributed detection
KW - moving target detection
KW - non-homogeneous clutter
UR - http://www.scopus.com/inward/record.url?scp=79960916489&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79960916489&partnerID=8YFLogxK
U2 - 10.1109/WOSSPA.2011.5931517
DO - 10.1109/WOSSPA.2011.5931517
M3 - Conference contribution
AN - SCOPUS:79960916489
SN - 9781457706905
T3 - 7th International Workshop on Systems, Signal Processing and their Applications, WoSSPA 2011
SP - 383
EP - 387
BT - 7th International Workshop on Systems, Signal Processing and their Applications, WoSSPA 2011
T2 - 7th International Workshop on Systems, Signal Processing and their Applications, WoSSPA 2011
Y2 - 9 May 2011 through 11 May 2011
ER -