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一种改进型KB-RLS算法在自干扰对消中的工程应用

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在自适应自干扰对消的过程中,结合实际的工程应用需求(收敛精度高、收敛速度快、算法复杂度低),提出了一种改进型保持平衡-递推最小二乘法(KB-RLS)算法,并进行了相应的硬件架构搭建.在此架构上,抓取了实际电磁环境中的信号进行仿真测试,并将改进型算法和已有的经典RLS算法进行对比.结果表明,该算法在工程应用中,对实际环境下的复杂电磁信号,能获得更好的对消效果.
Engineering Application of An Improved KB-RLS Algorithm to Self-interference Cancellation
In the process of self-interference and self-adaptive cancellation,this paper proposes an improved keep-balance recursive least square(KB-RLS)algorithm based on the practical engineer-ing application requirements of high convergence accuracy,fast convergence speed and low algo-rithm complexity,and builts the corresponding hardware architecture,based on this architecture,performs simulation test by capturing the signals in the actual electromagnetic environment,and compares the cancellation results of the improved algorithm with that of the existing classical RLS algorithm.The results show that the algorithm can obtain better cancellation effect for complex e-lectromagnetic signals in the actual environment.

self-interference cancellationsignal mutationself-adaptive filtering

王铎澎、黄华、张生凤

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中国船舶集团有限公司第八研究院,江苏扬州 225101

自干扰对消 信号突变 自适应滤波

2024

舰船电子对抗
中国船舶重工集团公司第723研究所

舰船电子对抗

影响因子:0.213
ISSN:1673-9167
年,卷(期):2024.47(1)
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