基于短波突发信号的自适应均衡技术研究

Adaptive Equalization Technology based on HF Burst-Mode Communication

文中根据短波突发通信中使用的波形结构,结合常用的两种均衡算法特点,提出在均衡器训练阶段采用平方根卡尔曼(SRK)算法,在跟踪阶段采用最小均方(LMS)算法的均衡方案。将该方案与两种常用的均衡算法进行对比仿真试验。仿真结果表明,该均衡方案收敛速度快,误码率特性较好且计算复杂度低,是一种适合于短波突发通信的均衡方案。

The paper, in combining the characteristics of the two equalization algorithms, proposes a equalization scheme, which adopts square root Kalman algorithm in training phase and LMS algorithm in tracking phase based on the structure of waveform for HF burst-mode communicatiofi. The performance of algorithm is simulated and compared with the two equalization algorithms. The result shows that the scheme has fast convergence speed, good BER performance and low computing complexity, and is quite suitable for HF burst-mode communication.