短波信道平方根卡尔曼自适应均衡算法研究

针对短波突发通信的特点，基于判决反馈均衡器，研究平方根卡尔曼自适应均衡算法。该算法的参数选取对均衡的收敛速率和信道的衰落速率敏感，探究一种改进的平方根卡尔曼算法，运用Matlab工具对2种算法的性能进行仿真比较。仿真结果表明，在短波信道下，改进算法克服了原算法的缺点，具有很好的稳定性，并且不会牺牲收敛速率，其性能优于平方根卡尔曼算法。

Research on Square Root Kalman Algorithm of Adaptive Equalization in HF Channel

According to the characteristics of the HF burst-mode communication, the paper studies square root Kalman algorithm of adaptive equalization based on the decision-feedback condition. The parameter selection of this algorithm is sensitive to the speed of equalization convergence and the velocity of channel fading. This paper proposes a modified square root Kalman algorithm based on the original algorithm, and the performance of these two algorithms are simulated and compared by Matlab. Simulation results show that the modified algorithm overcomes the shortcomings of the original algorithm, provides nice stability while guaranteed the speed of convergence, and has the advantages over the square root Kalman algorithm for HF channel.