LPI Performance Optimization Scheme for a Joint Radar-Communications System

2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM) Pub Date : 2020-06-01 DOI:10.1109/SAM48682.2020.9104362

C. Shi, Yijie Wang, Fei Wang, Jianjiang Zhou

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Abstract

In this paper, a low probability of intercept (LPI) performance optimization scheme for a joint radar-communications system (JRCS) is proposed, which is able to simultaneously estimate channel parameters from the target returns and decode the received communications signals. The primary objective is to improve the LPI performance of a JRCS by optimizing radar waveform design and communications power allocation while guaranteeing a predefined mutual information (MI) threshold for channel parameter estimation and a desired communications data rate (CDR) for data transmission, where both traditional isolated sub-band (TISB) and radar isolated sub-band (RISB) situations are discussed. Subsequently, the approach of Lagrange multipliers and the Karush-Kuhn-Tuckers (KKT) optimality conditions are derived to solve the resulting problems. Also, the successive interference cancellation (SIC) technique is employed to obtain the original communications signals free of any radar interference. Finally, numerical simulations are provided to demonstrate the effectiveness of the proposed scheme.

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一种联合雷达通信系统LPI性能优化方案

提出了一种低截获概率(LPI)的联合雷达通信系统(JRCS)性能优化方案，该方案能够同时从目标回波中估计信道参数并对接收到的通信信号进行解码。主要目标是通过优化雷达波形设计和通信功率分配来提高JRCS的LPI性能，同时保证信道参数估计的预定义互信息(MI)阈值和数据传输所需的通信数据速率(CDR)，其中讨论了传统隔离子带(TISB)和雷达隔离子带(RISB)情况。随后，推导了拉格朗日乘子法和Karush-Kuhn-Tuckers (KKT)最优性条件来解决所产生的问题。同时，采用逐次干扰抵消(SIC)技术，获得不受雷达干扰的原始通信信号。最后，通过数值仿真验证了该方法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM)

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