基于RLS的频域自适应多通道均衡算法OA

In broadband array radar due to the difference in frequency response of analog devices such as antennas,RF com-ponents,the amplitude and phase of each channel are inconsistent i.e.,channel mismatch.The discrepancy in channel alignment can result in radar system instability and a decline in operational performance.Traditional frequency domain least squares equaliza-tion algorithms,due to their computational intensity and challenging implementation in engineering,may exacerbate these issues.In light of this,the present paper suggests incorporating the adaptive Recursive Least Squares(RLS)algorithm in the frequency do-main as a more efficient solution for equalization filtering.The algorithm increases the smoothness of the in-band data and improves the equalization performance by shifting the data of the ideal equalizer,intercepts the in-band data equalization,reduces the fitting error,and further improves the equalization accuracy while reducing the number of iterations to lower the overall computing power.Finally,the optimal weight vector of the equalizer is solved by iteration,which avoids the matrix inverse operation in the frequency domain least squares algorithm and reduces the computational complexity of the algorithm.Simulation data show that this method has better equalization performance than the existing frequency-domain least-squares algorithms,focusing on in-band data greatly reduces the overall computational volume,while possessing lower computational complexity and simple engineering implementation.