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Minimax robust transmission waveform and receiving filter design for extended target detection with imprecise prior knowledge

机译:Minimax鲁棒的发射波形和接收滤波器设计,无需先验知识即可扩展目标检测

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摘要

It is well known that optimal extended target detection for wideband radar in the presence of colored Gaussian noise and signal-dependent interference can be imple mented, based on the prior information of target impulse response, by transmit receiver design via maximizing the output signal-to-interference plus noise ratio (SINR). However, the prior knowledge of the target is usually imprecise. The target impulse response is very sensitive to target-radar orientation, and the initial phase of target echo is a function of target-radar distance, namely, the exact target impulse response cannot be obtained in transmission waveform design. Additionally, the transmission waveform is desired to be of constant modulus for power efficiency. In this paper, we propose a robust method to jointly design the transmission waveform with constant modulus constraint and the receiving filters. The cost function is established by maximizing the worst-case output SINR and an iterative procedure is presented based on modified sequential quadratic programming. Numerical results show that the proposed method can increase the worst-case output SINR significantly.
机译:众所周知,可以根据目标脉冲响应的先验信息,通过最大程度地提高输出信号的发射接收器设计,在有色高斯噪声和信号相关干扰的情况下实现宽带雷达的最佳扩展目标检测。 -干扰加噪声比(SINR)。但是,目标的先验知识通常是不准确的。目标脉冲响应对目标雷达方向非常敏感,目标回波的初始相位是目标雷达距离的函数,即在传输波形设计中无法获得准确的目标脉冲响应。另外,为了提高功率效率,希望传输波形具有恒定的模量。在本文中,我们提出了一种鲁棒的方法来共同设计具有恒定模数约束的传输波形和接收滤波器。通过最大化最坏情况下的输出SINR来建立成本函数,并基于改进的顺序二次编程提出了一种迭代过程。数值结果表明,该方法可以显着提高最坏情况下的输出信噪比。

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