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. INDEX TERMS Detection, multistatic radar, time reversal.

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Multistatic radar has the advantage of spatial diversity, but its detection performance is decreased in dense multipath scattering environments. This problem can be solved by using the time reversal (TR) technique to take advantage of the multipath effect to improve target detection; however, this usually requires a stationary channel response that is difficult to achieve in practice. This article studies a TR detection algorithm for a multistatic radar system in a varying multipath channel environment. We establish a varying channel response model and derive a time reversal likelihood ratio test (TR-LRT) detector to utilise the characteristics of multiple paths when the multipath environment is changing during the detection process. We use Monte Carlo simulations and theoretical analysis to show the superior performance of the proposed TR detector compared with a conventional detector. Our proposed TR-LRT detector shows good robustness to environmental variations. Simulation results show that better detection results are achieved in a more severe multipath scattering environment.This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

To mitigate the overlapping of the radar and communication frequency bands caused by large-scale devices access, we propose a novel integrated sensing and communication (ISAC) system, where a micro base station (MiBS) simultaneously carries out both target sensing and cooperative communication. Concretely, the MiBS, acting as the sensing equipment, can also serve as a full-duplex decode-and-forward relay to assist end-to-end communication. Moreover, non-orthogonal downlink transmission (NO-DLT) is adopted between the macro base station and the Internet-of-Things devices, so that the spectrum utilization can be further improved. To facilitate the performance evaluation, both the exact and asymptotic outage probabilities, the ergodic rates associated communication, and the probability of successful sensing detection are characterized. Subsequently, a pair of problems of maximizing the receive signal-to-interferenceplus-noise ratio of the sensing signal and maximizing the sum rate of communication are formulated that are solved by the classic Lagrangian method while exploiting the associated function monotonicity. Our simulation results demonstrate that: 1) The proposed ISAC NO-DLT system improves both the communication and sensing performance under the same power consumption as non-cooperative NO-DLT; 2) The proposed power allocation (PA) schemes are superior to the random PA scheme.