Secrecy Rate Optimizations for MIMO Communication Radar

Abstract

In this paper, we investigate transmit beampattern optimization techniques for a multiple-input multiple-output radar in the presence of a legitimate communications receiver and an eavesdropping target. The primary objectives of the radar are to satisfy a certain target-detection criterion and to simultaneously communicate safely with a legitimate receiver by maximizing the secrecy rate against the eavesdropping target. Therefore, we consider three optimization problems, namely target return signal-to-interference-plus-noise ratio maximization, secrecy rate maximization, and transmit power minimization. However, these problems are nonconvex due to the nonconcavity of the secrecy rate function, which appears in all three optimizations either as the objective function or as a constraint. To solve this issue, we use Taylor series approximation of the nonconvex elements through an iterative algorithm, which recasts the problem as a convex problem. Two transmit covariance matrices are designed to detect the target and convey the information safely to the communication receiver. Simulation results are presented to validate the efficiency of the aforementioned optimizations.

Joint Radar and Communication Design: Applications, State-of-the-Art, and the Road Ahead

“…Accordingly, a number of performance trade-offs involving the radar detection and estimation performance, the communication rate and the secrecy rate remain to be studied. Some initial works on this topic can be found in [113]- [115].…”

Low Probability of Intercept-Based Optimal Power Allocation Scheme for an Integrated Multistatic Radar and Communication System

“…Subsequently, reference [15] extends the work in [12] to a multiple-transmitter case. Also, the problem of secrecy communication for an integrated MIMO radar and communication system is investigated [16], where the primary goals of the radar are to guarantee a specified target detection performance and to simultaneously communication in security with a legitimate receiver by maximizing the secrecy rate against the eavesdropper.…”

Joint source and relay precoder design for energy‐efficient MIMO‐cognitive relay networks

“…Moreover, a relay node improves the coverage and performance of the SU without utilising extra spectrum resources [8]. On the other hand, the multi-input multi-output (MIMO) technique improves the capacity of wireless networks [9,10]. Particularly, the MIMO system in cognitive relay networks (CRNs) allows the SU to transmit multiple data streams by means of spatial multiplexing and may adjust radiation pattern to reduce the interference at the PU [11].…”