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Narrow-band interference suppression in direct sequence spread spectrum systems using a lattice IIR notch filter

机译:使用晶格IIR陷波滤波器的直接序列扩频系统中的窄带干扰抑制

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This paper proposes an algorithm for the suppression of narrow-band interference in direct sequence spread spectrum (DSSS) systems, based on the open loop adaptive IIR notch filtering. The center frequency of the interference is monitored on-line by the adaptive lattice IIR notch filter in Cho and Lee (1993) or by time-frequency analysis in Amin (1997). The power of the interference signal is also estimated from the adaptive filters. Another lattice IIR notch filter is placed in front of the receiver, the notch of which is controlled by the frequency estimate to remove the interference. However, the IIR notch filter with the zeros on the unit circle also removes the information signal at the notch frequency while removing the interference and causes data distortion. Hence, the depth of the notch should also be adjusted for the trade-off between data distortion and effective interference reduction. The objective function for adjusting the depth of the notch is defined as the overall signal to noise ratio (SNR). The SNR is expressed as a function of filter parameters and the notch depth that maximizes the SNR is found. Simulation results show that the proposed algorithm yields better performance than the existing FIR notch filter and the conventional FIR LMS algorithm with very long taps.
机译:提出了一种基于开环自适应IIR陷波滤波的直接序列扩频(DSSS)系统中的窄带干扰抑制算法。干扰的中心频率通过Cho and Lee(1993)中的自适应点阵IIR陷波滤波器或Amin(1997)中的时频分析进行在线监测。还从自适应滤波器估计干扰信号的功率。另一个晶格IIR陷波滤波器放置在接收机的前面,其陷波由频率估计控制以消除干扰。但是,单位圆上带有零的IIR陷波滤波器也会消除陷波频率下的信息信号,同时消除干扰并导致数据失真。因此,还应调整切口的深度,以在数据失真和有效减少干扰之间进行权衡。调整陷波深度的目标函数定义为整体信噪比(SNR)。 SNR表示为滤波器参数的函数,并且找到了使SNR最大化的陷波深度。仿真结果表明,与现有的FIR陷波滤波器和具有很长抽头的传统FIR LMS算法相比,该算法具有更好的性能。

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