一种相位域低积分旁瓣雷达波形优化方法

雷达波形优化作为雷达领域中最重要的课题之一,受到广泛关注.雷达探测波形不仅要有恒定的幅度,还要有低的自相关副瓣.由于恒模约束是非凸的,所以针对低自相关旁瓣恒模波形优化问题复杂度很高.已有算法通常将包含波形幅度和相位信息的多维向量空间作为优化问题的可行解集合,计算过程需要恒模约束条件参与,导致寻优难度和计算量较大.该文提...

Phase-only Method for Designing a Unimodular Radar Waveform with Low ISL

Radar waveform optimization has recently drawn much attention. The radar waveform possesses not only constant amplitude but also a low autocorrelation sidelobe level. However, because of the presence of the constant modular constraint, the problem of optimizing the waveform is non-convex, which is difficult to address. The feasible domain used by the current methods usually contains the vector space with two dimensions: amplitude and phase. The optimization procedures accompanied by the constant constraint enlarge the difficulty and amount of calculation. Herein, the problem of designing unimodular sequences with low autocorrelation sidelobes is addressed, and a novel approach based on phase optimization is presented. The feasible domain is compressed into the vector space with only the phase dimension. The proposed method conducts a deep analysis of the relationship between the phases of the elements in the unimodular sequence and successively updates the vector with a closed-form solution in an element-by-element manner at each iteration using the coordinate descent method, which comprises low computational complexity. By compressing the feasible domain and updating the vector variable using the closed solution, the integrated sidelobe level and computation efficiency are improved. Representative numerical simulations are provided to verify the effectiveness of the proposed method.