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Adaptive canceler and pulse compressor interactions

机译:自适应抵消器和脉冲压缩器的相互作用

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Performance results for the sidelobe level of a compressed pulse that has been preprocessed through an adaptive canceler are obtained. The adaptive canceler is implemented using the sampled matrix inversion algorithm. Because of finite sampling, the quiescent compressed pulse sidelobe levels are degraded due to the preprocessing of the main channel input data stream (the uncompressed pulse) through an adaptive canceler. It is shown that if N is the number of input canceler channels (main and auxiliaries) and K is the number of independent samples per channel, then K/N can be significantly greater than one in order to retain sidelobes that are close to the original quiescent sidelobe level (with no adaptive canceler). Also it is shown that the maximum level of degradation is independent of whether pulse compression occurs before or after the adaptive canceler if the uncompressed pulse is completely contained within the K samples that are used to calculate the canceler weights. This same analysis can be used to predict the canceler noise power level that is induced by having the desired signal present in the canceler weight calculation.
机译:获得通过自适应消除器进行预处理的压缩脉冲旁瓣电平的性能结果。自适应消除器使用采样矩阵求逆算法实现。由于有限采样,由于通过自适应消除器对主通道输入数据流(未压缩脉冲)进行了预处理,因此静态压缩脉冲旁瓣电平降低了。结果表明,如果N是输入抵消器通道(主和辅助)的数量,K是每个通道的独立样本的数量,则K / N可以显着大于1,以保留与原始旁瓣接近的旁瓣。静态旁瓣电平(无自适应消除器)。还表明,如果未压缩脉冲完全包含在用于计算抵消器权重的K个样本中,则最大降级程度与脉冲压缩是在自适应抵消器之前还是之后发生无关。这种相同的分析可用于预测由消除器权重计算中存在所需信号引起的消除器噪声功率水平。

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