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基于KWAN和MARTIN提出的抑制多个窄带干扰算法,改进了其中的梯度搜索算法,减少了硬件复杂性。KWAN和MARTIN的算法在窄带干扰数量增加时,硬件数量呈几何级数增长。而对于笔者改进的算法来说,硬件数量只需要代数增长就能够实现相同的效果。KWAN和MARTIN的算法在处理3至10个窄带干扰时,所需要的硬件数量分别比新算法多12.5%和124%。新算法的仿真结果显示了它在多种实际的信号处理应用中都是强壮和有效的。
Based on the algorithm of suppressing multiple narrow-band interferences proposed by KWAN and MARTIN, the gradient search algorithm is improved and the hardware complexity is reduced. The algorithm of KWAN and MARTIN increases geometrically when the number of narrow-band interference increases. For the author to improve the algorithm, the number of hardware only need to algebraic growth will be able to achieve the same effect. The algorithms of KWAN and MARTIN require 12.5% and 124% more hardware respectively than the new algorithm when dealing with 3 to 10 narrowband interferences. The simulation results of the new algorithm show that it is robust and effective in many practical signal processing applications.