CAJ | 학술논문

为提高雷达系统在压制性干扰环境下目标检测能力，对自适应噪声对消系统及LMS滤波算法进行分析，提出了一种改进的变步长LMS自适应滤波算法。该算法采用类Sigmoid函数调节步长，具有在稳态误差e（n）接近零时缓慢变化的特点，并提高了收敛速度。将该算法应用到雷达自适应干扰对消系统，并进行了计算机仿真，仿真结果表明，提出的算法有快速的收敛速度和跟踪速度，以及较小的稳态误差，在SNR=-5 dB时仍然有较好的噪声抑制效果。
위제고뢰체계통재압제성간우배경하목표검측능력，대자괄응조성대소계통급LMS려파산법진행분석，제출료일충개진적변보장LMS자괄응려파산법。해산법채용류Sigmoid함수조절보장，구유재은태오차e（n）접근령시완만변화적특점，병제고료수렴속도。장해산법응용도뢰체자괄응간우대소계통，병진행료계산궤방진，방진결과표명，제출적산법유쾌속적수렴속도화근종속도，이급교소적은태오차，재SNR=-5 dB시잉연유교호적조성억제효과。
To improve the performance of the target detection for the radar system in the oppressive jamming environment,the adaptive noise cancellation system and the algorithm of LMS filtering are analyzed. This paper proposes an improved variable step size LMS adaptive filtering algorithm. The improved algorithm uses the Sigmoid function for adjusting the step size,which has the property of changing slightly when error e(n)near to zero. The improved algorithm is applied in the computer simulation of radar adaptive interference cancellation system,and the simulation results show that the improved algorithm has faster convergence speed and tracking performance,and better performance of noise suppression when SNR=-5 dB.