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Secrecy Rate Optimizations for MIMO Communication Radar

机译：MIMO通信雷达的保密率优化

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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.
机译：在本文中，我们研究了在存在合法通信接收器和窃听目标的情况下，多输入多输出雷达的发射波束方向图优化技术。雷达的主要目的是满足特定的目标检测标准，并通过最大化针对窃听目标的保密率，同时与合法接收方进行安全通信。因此，我们考虑了三个优化问题，即目标返回信号与干扰加噪声比的最大化，保密率的最大化和发射功率的最小化。但是，由于保密率函数的不凹性，这些问题是不凸的，这在所有三个优化中都以目标函数或约束的形式出现。为了解决这个问题，我们通过迭代算法使用非凸元素的泰勒级数逼近，将问题重铸为凸问题。设计了两个发送协方差矩阵，以检测目标并将信息安全地传送到通信接收器。给出仿真结果以验证上述优化的效率。

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