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Efficient joint transmit waveform and receive filter design based on a general L_p-norm metric for sidelobe level of pulse compression

机译:高效的关节传输波形和基于通用L_P-NOM度量的脉冲压缩级别的通用L_P-NOM度量的接收滤波器设计

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Low sidelobe level is required for pulse compression (PC) radar systems since it can reduce false alarm triggered by the high sidelobe and improve the ability to detect weak targets nearby strong scattering points. In most of the existing literature, sidelobe suppression is achieved by either transmit waveform design at the transmitter or mismatched filter optimization at the receiver. Joint design of waveform and filter is an approach with limited discussion. Thus, this paper aims to jointly design transmit waveform and mismatched filter to achieve low sidelobe level. We first formulate an L_p-norm metric for PC model which suits for either the integrated sidelobe level or peak sidelobe level (PSL) minimization (only with different initializations of p). Then we present a new iterative method to deal with the problem by using Dinkelbach's scheme and majorization minimization method. The proposed method is shown to be convergent and the computational complexity is also analyzed. Numerical examples demonstrate that waveforms and filters designed by using the proposed method produce lower PSL than the existing techniques.
机译:脉冲压缩(PC)雷达系统需要低侧链电平,因为它可以减少高侧链触发的误报,并提高了在强散射点附近的弱目标的能力。在大多数现有文献中,通过在接收器处的发射机或错配的滤波器优化处的传输波形设计来实现Sidelobe抑制。波形和过滤器的联合设计是讨论有限的方法。因此,本文旨在共同设计传输波形和错配滤波器以实现低侧链水平。我们首先为PC模型提供L_P-Norm度量,其适用于集成的Sidelobe电平或峰值旁观级别(PSL)最小化(仅用P的不同初始化)。然后我们通过使用Dinkelbach的方案和多种化最小化方法提出了一种新的迭代方法来处理问题。所提出的方法显示为会聚,并且还分析了计算复杂性。数值示例表明,通过使用所提出的方法设计的波形和滤波器产生比现有技术更低的PSL。

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