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首页> 外文期刊>IEEE Transactions on Signal Processing >Designing Sequence With Minimum PSL Using Chebyshev Distance and its Application for Chaotic MIMO Radar Waveform Design
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Designing Sequence With Minimum PSL Using Chebyshev Distance and its Application for Chaotic MIMO Radar Waveform Design

机译：Chebyshev距离最小PSL设计序列及其在混沌MIMO雷达波形设计中的应用。

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摘要

Controlling peak side-lobe level (PSL) is of great importance in high-resolution applications of multiple input multiple output (MIMO) radars. In this paper, designing sequences with good autocorrelation properties are studied. The PSL of the autocorrelation is regarded as the main merit and is optimized through newly introduced cyclic algorithms, namely, PSL minimization quadratic approach, PSL minimization algorithm where the smallest rectangular, and PSL optimization cyclic algorithm. It is revealed that minimizing PSL results in better sequences in terms of autocorrelation side lobes when compared with traditional integrated side-lobe level minimization. In order to improve the performance of these algorithms, fast-randomized singular value decomposition is utilized. To achieve waveform design for MIMO radars, this algorithm is applied to the waveform generated from a modified Bernoulli chaotic system. The numerical experiments confirm the superiority of the newly developed algorithms compared to high-performance algorithms in monostatic and MIMO radars.
机译：在多输入多输出（MIMO）雷达的高分辨率应用中，控制峰值旁瓣电平（PSL）至关重要。本文研究了具有良好自相关特性的序列。自相关的PSL被视为主要优点，并通过新引入的循环算法（即PSL最小化二次方法，最小矩形的PSL最小化算法和PSL优化循环算法）进行了优化。据揭示，与传统的集成旁瓣电平最小化相比，最小化PSL会产生更好的自相关旁瓣序列。为了提高这些算法的性能，利用了快速随机的奇异值分解。为了实现MIMO雷达的波形设计，将此算法应用于从改进的Bernoulli混沌系统生成的波形。数值实验证实了与单基地雷达和MIMO雷达中的高性能算法相比，新开发算法的优越性。

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