Title :
MIMO radar detection with heterogeneous propagation losses
Author :
Song, Xiufeng ; Willett, Peter ; Zhou, Shengli ; Glaz, Joseph
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Connecticut, Storrs, CT, USA
Abstract :
A multiple-input multiple-output (MIMO) radar can utilize distributed antennas to improve detection performance. Some existing works model bistatic path gains as identically and independently distributed random variables, and the known distinct features between propagation paths are neglected. Based on the bistatic radar equation, a path gain is a product of target reflection gain and propagation loss. Since the latter depends on geometry and system parameters, the true path gains are not necessarily identically distributed. In this paper, the propagation loss is incorporated into the MIMO radar signal model and the binary hypothesis test is explored. The test statistic is a sum of weighted Chi-square random variables under either hypothesis, and its distribution is a Gamma mixture. The probabilities of detection and false alarm can be explicitly obtained. In addition, a saddlepoint approximation based performance analysis is suggested, and it may be less sensitive to numerical errors, particularly when weighting coefficients are similar.
Keywords :
MIMO radar; antenna arrays; error analysis; radar antennas; radar detection; statistical analysis; Gamma mixture; MIMO radar detection; MIMO radar signal model; bistatic path; bistatic radar equation; detection probabilities; distributed antennas; distributed random variables; false alarm; heterogeneous propagation losses; multiple-input multiple-output radar; numerical errors; propagation loss; saddlepoint approximation based performance analysis; target reflection gain; weighted chi-square random variables; Abstracts; Conferences; MIMO; MIMO radar; Radar antennas; Signal processing; Chi-square; Gamma mixture; Neyman-Pearson; bistatic radar equation; saddlepoint approximation;
Conference_Titel :
Statistical Signal Processing Workshop (SSP), 2012 IEEE
Conference_Location :
Ann Arbor, MI
Print_ISBN :
978-1-4673-0182-4
Electronic_ISBN :
pending
DOI :
10.1109/SSP.2012.6319819