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On Time Compression Overlap-Add Technique in Linear Frequency Modulation Pulse Compression Radar Systems: Design and Performance Evaluation

机译:在线性调制脉冲压缩雷达系统中的时间压缩重叠 - 添加技术:设计和性能评估

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摘要

This paper introduces a novel approach to incorporate the time compression overlap-add (TC-OLA) technique used in communication systems into linear frequency modulation pulse compression (LFM-PC) radar systems. This technique significantly boosts the signal-to-noise ratio (SNR) and provides a robust processing gain compared with the traditional radar LFM-PC systems. In addition, TC-OLA provides a better immunity against powerful jamming techniques. At the transmitter side, we divide a digitized LFM chirp signal into a controlled number of overlapping segments. We then speed up each segment by increasing the sampling rate to account for the segment overlap. At the receiver side, we apply OLA to reconstruct the signal with a much higher gain. To simulate and evaluate the performance of the new system, we extend the conventional LFM-PC radar model, which includes matched filter (MF) processor, moving target detector (MTD), and two common constant false alarm rate (CFAR) algorithms, by suitably adding TC and OLA blocks at the transmitter and receiver, respectively. Using the TC-OLA-based LFM radar system, we have control over the SNR level and the spectrum spread while preserving the same Doppler shift and target time delay as the conventional LFM radar system. Furthermore, we transform LFM chirp signal into a novel TC signal that inherits LFM properties while possessing better immunity to jamming. Moreover, the proposed radar model relies on high sample rates only when needed and, therefore, does not require changing MF, MTD, and CFAR as is the case for a wideband LFM radar with the same processing gain. Detailed comparisons between the conventional LFM and the wideband LFM radars against the proposed model are also presented.
机译:本文介绍了一种新的方法,将通信系统中使用的时间压缩重叠(TC-OLA)技术纳入线性频率调制脉冲压缩(LFM-PC)雷达系统。该技术显着提高了信噪比(SNR)并与传统雷达LFM-PC系统相比提供了鲁棒的处理增益。此外,TC-OLA可针对强大的干扰技术提供更好的免疫力。在发射器侧,我们将数字化的LFM Chirp信号划分为受控数量的重叠段。然后,我们通过增加采样率来加速每个段以解释段重叠。在接收器方面,我们应用OLA以重建具有更高增益的信号。为了模拟和评估新系统的性能,我们扩展了传统的LFM-PC雷达模型,包括匹配的滤波器(MF)处理器,移动目标检测器(MTD),以及两个常见的常数误报率(CFAR)算法,by适当地在发射器和接收器处适当地添加TC和OLA块。使用基于TC-OLA的LFM雷达系统,我们可以控制SNR水平和频谱传播,同时保持与传统的LFM雷达系统相同的多普勒频移和目标时间延迟。此外,我们将LFM Chirp信号转换为新的TC信号,其继承LFM属性,同时具有更好的抗扰度。此外,所提出的雷达模型仅在需要时依赖于高样本速率,因此,不需要改变MF,MTD和CFAR,就像具有相同处理增益的宽带LFM雷达的情况。还提出了传统的LFM与宽带LFM雷达与所提出的模型之间的详细比较。

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