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A Modified Least-Squares Mismatched Filter for Use in Radar Applications with Additive Noise

机译：改进的最小二乘不匹配滤波器，用于具有加性噪声的雷达应用

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Waveforms used for passive synthetic aperture radar applications typically have poor range resolution which leads to difficulty distinguishing between small targets within a scene. This problem is magnified when there are high sidelobes in the filter response. This paper formulates a modified least-squares mismatched filter used on noisy, oversampled, OFDM signals in lieu of a traditional matched filter. This paper considers the role of signal oversampling on the filter's performance and evaluates the mismatched filter against the matched filter in various noise environments. Range profiles are presented and then image formation is carried out over a narrow aperture to demonstrate the superior sidelobe suppression of the modified least-squares mismatched filter in the presence of additive noise.
机译：用于无源合成孔径雷达应用的波形通常具有较差的距离分辨率，这导致难以区分场景中的小目标。当滤波器响应中存在高旁瓣时，此问题会被放大。本文提出了一种修改过的最小二乘失配滤波器，用于替代有噪声，过采样的OFDM信号，以代替传统的匹配滤波器。本文考虑了信号过采样对滤波器性能的影响，并针对各种噪声环境中的匹配滤波器对失配滤波器进行了评估。呈现距离分布，然后在狭窄的孔径上进行成像，以证明在存在加性噪声的情况下，改进的最小二乘失配滤波器具有出色的旁瓣抑制能力。

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