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Constrained Transmit Beampattern Design Using a Correlated LFM-PC Waveform Set in MIMO Radar

机译:使用MIMO雷达中的相关LFM-PC波形集约束传输波束图设计

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摘要

This paper considers the design of a desired transmit beampattern under the good ambiguity function constraint using a correlated linear frequency modulation-phase coded (LFM-PC) waveform set in multiple-input-multiple-output (MIMO) radar. Different from most existing beampattern design approaches, we propose using the LFM-PC waveform set to conquer the challenging problem of synthesizing waveforms with constant-envelope and easy-generation properties, and, meanwhile, solve the hard constraint of a good ambiguity behaviour. First, the ambiguity function of the LFM-PC waveform set is derived, and the superiority of LFM-PC waveforms over LFM and PC waveforms is verified. The temporal and spatial characteristic analysis of the LFM-PC waveform set demonstrates that both the transmit beampattern and sidelobe level are mainly affected by the frequency intervals, bandwidths, and phase-coded sequences of the LFM-PC waveform set. Finally, the constrained beampattern design problem is formulated by optimizing these parameters for desired beampatterns and low sidelobes at different doppler frequencies, which is a bi-objective optimization problem. To solve this, we propose a joint optimization strategy followed by a mandatory optimization, where the sequence quadratic programming (SQP) algorithm and adaptive clonal selection (ACS) algorithm are exploited iteratively. The simulation results demonstrate the efficiency of our proposed method.
机译:本文考虑的良好模糊函数约束下一个期望的发射波束方向图的使用相关线性调频相位编码(LFM-PC)在多输入多输出(MIMO)雷达波形集的设计。从大多数现有的波束图形设计不同的方法,我们建议使用LFM-PC波形数据集征服合成具有恒定包络,易于产生性波形的具有挑战性的问题,同时,解决了良好的模糊行为的硬约束。首先,LFM-PC波形数据集的模糊函数推导,并在LFM和PC波形LFM-PC波形的优越性进行了验证。的LFM-PC波形集的时空特性分析表明,无论是发送波束方向图和旁瓣电平,主要受频率间隔,带宽和LFM-PC波形组的相位编码序列。最后,受约束的波束图形设计问题是由在不同的多普勒频率所需的波束方向图和低旁瓣,这是一个双目标优化问题优化这些参数配制。为了解决这个问题,我们提出了一个联合优化策略,然后强制性的优化,其中序列二次规划(SQP)算法和自适应克隆选择(ACS)算法被反复利用。仿真结果表明我们提出的方法的有效性。

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