Abstract

A multistatic radar system can effectively improve the detection performance owing to its spatial diversity property. However, the detection performance will degrade when there exist multipaths. Time reversal has been proved to be able to transform the impact of the multipath into a favorable factor by matching propagation channels to achieve space-time focusing in a monostatic radar system. Therefore, we study the time reversal detection problem in a multistatic radar system with multipath environment in this paper. We divide the detection problems into two scenarios according to whether the channel response is known or not. In both scenarios, the time reversal detector and the conventional detector are derived respectively. Monte-Carlo experiments are used to examine the performance of the four detectors. The simulation results demonstrate that the time reversal detectors have a significant performance enhancement over the conventional detectors for the multistatic radar in a multipath environment, and more multipaths lead to better detection performance for the time reversal detectors. In addition, we also show that the detection probability improves with the increase of the number of radar transceivers.

Highlights

  • Radar cross section (RCS), which affects the radar detection performance significantly, is associated with the radar observation angle

  • In a multistatic radar or a distributed multiple input multiple output (MIMO) radar, the target is illuminated from different directions to obtain spatial diversity which can overcome RCS fluctuation [1], [2]

  • We focus on the stationary or slow moving target detection problem of the multistatic radar system based on time reversal and ignore the clutters in this paper

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Summary

INTRODUCTION

Radar cross section (RCS), which affects the radar detection performance significantly, is associated with the radar observation angle. The radar receives the echo of a target as the conventional radar does first It forms the new transmitted signal by reversing the received data in the time domain (or by doing phase conjugation in the frequency domain) and normalizing energy. Time reversal does not require to construct the channel model in advance and it can effectively utilize multipaths to realize spatial and temporal focusing by matching channel response, which helps to improve the radar detection probability. The received conventional signal of each transceiver for each snapshot is time reversed (or frequency domain conjugation), energy normalized, and retransmitted.

STATISTICAL CHARACTERISTIC
TIME REVERSAL DETECTOR WITH KNOWN CHANNEL RESPONSE
CONVENTIONAL DETECTOR WITH UNKNOWN CHANNEL RESPONSE
TIME REVERSAL DETECTOR WITH UNKNOWN CHANNEL RESPONSE
SIMULATIONS
CONCLUSION
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