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Target Detection with MSN Algorithm for the Bistatic Radar Using Digital Terrestrial Broadcasting Signals

机译:基于MSN算法的数字地面广播信号对双基地雷达的目标检测。

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摘要

In bistatic radar, it is important to suppress the undesired signals such as the direct propagated signal from transmitter and its mul-tipath components. Conventionally, some suppression methods have been proposed. They are categorized into the method using a feedback system and the method which subtracts the replicas of the undesired signals. The former method may have the problem on the convergence of the suppression performance. The latter method requires the precise delay times of the undesired signals. In this paper we propose a new method to detect the target in digital terrestrial TV-based bistatic radar which is based on orthogonal frequency division multiplexing (OFDM), without any information on the undesired signals' delay times. In the proposed method, we adapt a scheme based on maximum signal to noise ratio (MSN) algorithm, which makes signal to interference plus noise ratio (SINR) maximum for the desired signal component. The maximum sensitivity is steered so as to match the path that exhibits the delay which relates to the target position, as if the search beam is steered along the direction in array signal processing. In the proposed method, "nulls" are also formed for other delay components to be suppressed simultaneously. In the frequency domain, the carrier components of the scattered signal divided by those of the reference signal indicate the delays caused by scattering. We call these divided carrier components "normalized received signal." The steered sensitivity and nulls are created by the weight which is applied to the normalized received signal in the frequency domain. We obtain the method to estimate the weight to achieve the maximum SINR in the delay estimation which also includes the compensation for the reduction of the weight's length caused by decorre-lation among the delay components. The simulation results show that our proposed method without any information on the undesired signal's delays provides sufficient detection performance for the typical target compared to the conventional one.
机译:在双基地雷达中,重要的是抑制不想要的信号,例如来自发射机及其多径分量的直接传播信号。传统上,已经提出了一些抑制方法。它们被分类为使用反馈系统的方法和减去不需要信号的副本的方法。前一种方法可能存在抑制性能收敛的问题。后一种方法需要不需要信号的精确延迟时间。在本文中,我们提出了一种基于正交频分复用(OFDM)的,基于数字地面电视的双基地雷达中目标检测的新方法,该方法无需任何有关不希望的信号延迟时间的信息。在提出的方法中,我们采用了基于最大信噪比(MSN)算法的方案,该方案使所需信号分量的信噪比加噪声比(SINR)最大。操纵最大灵敏度以匹配表现出与目标位置有关的延迟的路径,就像在阵列信号处理中沿搜索方向操纵搜索光束一样。在提出的方法中,对于同时抑制其他延迟分量也形成了“零”。在频域中,散射信号的载波分量除以参考信号的载波分量表示由散射引起的延迟。我们称这些划分的载波分量为“标准化接收信号”。转向灵敏度和零点由权重创建,权重在频域中应用于标准化接收信号。我们获得了一种在延迟估计中估计权重以实现最大SINR的方法,该方法还包括补偿延迟分量之间的去相关引起的权重长度减少。仿真结果表明,与传统方法相比,该方法在不希望的信号延迟方面没有任何信息,可以为典型目标提供足够的检测性能。

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