干扰背景下MIMO雷达部分相关信号设计

在干扰背景下，集中式MIMO雷达可以通过设计发射波形提高系统的输出信干噪比，然而优化后的波形通常会具有较高的自相关旁瓣，降低了接收机对弱目标的检测性能。该文提出一种干扰背景下MIMO雷达部分相关信号设计方法。该方法在兼顾发射信号峰均比(PAPR)的同时，在发射天线对正交恒模波形进行加权处理，并以最大化接收机系统的输出信干噪比为准则建立目标函数，给出一种基于拟牛顿法的连续优化算法求解目标函数，获得最优加权，使得系统的输出信干噪比得到提升。仿真结果表明，该方法能够有效地抑制干扰，并可自适应地将发射信号能量辐射向目标方向，提高系统输出信干噪比。

Partially Correlation Signal Design for MIMO Radar in the Presence of Interference

Transmitted waveform can be designed to improve the SINR performance of colocated MIMO in the preference of interference. However, the optimized waveforms generally have high auto-correlation sidelobes which worsen the detection performance of weak targets at the receiver. To solve this problem, a method of partially correlation signal design for MIMO radar in the presence of interference is proposed in this paper. A set of orthogonal waveforms with constant modulus is weighted at the transmit antenna with the constraint of Peak-to-Average Power Ratios (PAPR), and the objective function is constructed by maximizing the Signal to Interference plus Noise Ratio (SINR) of the receive system. The Sequential Optimization Algorithm based on the Quasi-Newton Method (SOA-QNM) is proposed to find the optimal weights to improve the SINR of the system. Simulation results show that the proposed method can suppress the interference effectively and the emitted power of the transmitted signal can be adaptively concentrated on the direction of the target to improve the SINR performance.