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首页> 外文会议>Conference on sensors, and command, control, communications, and intelligence (C3I) technologies for homeland security and homeland defense VIII; 20090415-17; Orlando, FL(US) >An adaptive background estimation technique for enhancing target detection in through-the-wall-radar imaging applications
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An adaptive background estimation technique for enhancing target detection in through-the-wall-radar imaging applications

机译：自适应背景估计技术，可增强雷达成像应用中的目标检测能力

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摘要

The challenge in detecting behind the wall stationary targets appears when the target is close to the wall and has a frequency response that is fully or partially overlapping with the wall's spectrum. In order to detect such targets, background subtraction is usually applied. The main challenge of using this method is the availability of the empty scene, which is typically unavailable to the user. In this paper, we introduce an adaptive background estimation and subtraction technique, to detect objects behind the wall with the focus on human detection. This technique is based on the architecture of the adaptive side-lobe canceller, where a number of antenna elements are used to form a subarray that captures the background in the main beam, while receiving the incident scatterings from the target in the sidelobes. The output of this subarray is then used as the reference signal to suppress the background components at the output of each sensor, through adaptive Recursive Least Squares (RLS) algorithm. This technique can be used with both co- and cross-polarization returns, in order to further reduce the effect of the background and enhance the detectability of the target.
机译：当目标靠近墙壁并具有与墙壁频谱完全或部分重叠的频率响应时，在墙壁后方检测静止目标的挑战就出现了。为了检测这样的目标，通常应用背景减法。使用这种方法的主要挑战是空场景的可用性，用户通常无法使用。在本文中，我们介绍了一种自适应背景估计和减法技术，以人体检测为重点来检测墙后的物体。该技术基于自适应旁瓣抵消器的体系结构，在该架构中，大量天线元件用于形成捕获主波束背景的子阵列，同时接收来自旁瓣目标的入射散射。然后，通过自适应递归最小二乘（RLS）算法，将此子阵列的输出用作参考信号，以抑制每个传感器输出处的背景分量。为了进一步降低背景影响并增强目标的可检测性，该技术可与共极化和交叉极化返回一起使用。

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