一种循环迭代的宽带MIMO雷达正交稀疏频谱波形设计方法

发布时间：2018-04-26 20:04

本文选题：宽带MIMO雷达 + 稀疏频谱　；参考：《电子与信息学报》2017年04期

【摘要】：甚高频(VHF)和超高频(UHF)宽带MIMO雷达在实现目标高分辨与成像方面表现出巨大潜力,但也面临着工作频段拥塞和电磁信号干扰问题。针对这一问题,该文提出一种基于循环迭代的宽带MIMO雷达正交稀疏频谱波形设计方法。首先,将期望频谱矩阵作为待优化的辅助变量,综合考虑最小化发射波形频谱与期望频谱之间的均方误差以及积分旁瓣电平为目标函数,以发射波形恒模和期望频谱幅度满足上、下界约束为条件建立优化模型;然后,在循环迭代的算法框架下,为提高运算效率,利用快速傅里叶变换和谱分解技术实现模型的求解。仿真结果表明,优化波形较现有方法具有更好的稀疏频谱特性,同时还具有低自相关旁瓣和互相关性。
[Abstract]:VHF (VHF) and UHF (UHF) wideband MIMO radar have great potential in achieving high resolution and imaging of targets, but they also face the problems of working frequency congestion and electromagnetic signal interference. To solve this problem, this paper presents a method for designing orthogonal sparse spectrum waveform of wideband MIMO radar based on cyclic iteration. Firstly, the desired spectrum matrix is taken as the auxiliary variable to be optimized, and the mean square error between the transmitted waveform spectrum and the desired spectrum is considered synthetically, and the integral sidelobe level is taken as the objective function. The optimal model is established under the condition that the constant modulus of the transmitting waveform and the expected spectral amplitude satisfy the upper and lower bound constraints. Then, in the framework of the cyclic iteration algorithm, to improve the computational efficiency, Fast Fourier transform (FFT) and spectral decomposition are used to solve the model. The simulation results show that the optimized waveform has better sparse spectrum characteristics than the existing methods, and also has low autocorrelation sidelobe and cross-correlation.
【作者单位】：信息工程大学导航与空天目标工程学院;
【分类号】：TN958

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