Detection in passive MIMO radar networks

Abstract

This paper considers detection in passive multipleinput multiple-output (MIMO) radar sensor networks. Multiple centralized and decentralized detection architectures are surveyed and compared via Monte Carlo simulation. A recently proposed generalized likelihood ratio test (GLRT) detector, termed the reference-surveillance GLRT, is shown to have superior detection performance because it maximally exploits the correlations in the measured data. Specifically, it exploits interreceiver reference-surveillance correlations and inter-receiver surveillance-surveillance correlations, two concepts that are explained in this paper. In this way, the reference-surveillance GLRT achieves better sensitivity under all direct-path-to-noise ratio conditions than more conventional matched filter-inspired detection approaches, which exploit only some of the correlations within the measured data.

A GLRT approach for detecting correlated signals in white noise in two MIMO channels

“…, 0 with p n being the largest value of i between 1 and p such that rr,i > 2 . Plugging now (21) - (22) into (11), the GLRT under noise model 1 when the variance is known is given by 1 We focus here on the case where p  2M 1; otherwise the spatial structure of the target plays no role and the GLRT detector is given by the well-known sphericity test [22]. …”

“…This paper is motivated by a problem in passive radar, where the problem is to determine if there are complex demodulations and synchronizations in several surveillance antennas (or antenna arrays) that bring signals in the surveillance antennas into coherence with signals in the reference antennas [1]. The conventional approach for passive detection uses the cross-correlation (CC) between the data received in the reference and surveillance channels as the test statistic [2].…”

Multiantenna GLR Detection of Rank-One Signals With Known Power Spectral Shape Under Spatially Uncorrelated Noise

“…For example, in passive radar systems, target detection exploits readily available, non-cooperative illuminators of opportunity such as broadcast radio or television transmissions [21]- [23]. In such systems, the transmitted signal is out of control and generally unknown to a passive receiver, and a noisy reference may or may not be available [24], [25].…”

Random matrix theory inspired passive bistatic radar detection of low-rank signals

“…However, no claims can be made with regards to the optimality of such a detector [1]. Recently, the authors of [2] have studied this problem and derived the GLRT detector for passive multistatic radar. The model proposed in [2] has two major limitations.…”

“…Recently, the authors of [2] have studied this problem and derived the GLRT detector for passive multistatic radar. The model proposed in [2] has two major limitations. Firstly, it considers the entire transmitted waveform to be deterministic unknown without any structure.…”