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空时分组码(STBC)系统中采用卡尔曼(Kalman)均衡算法对接收信号序列及其复共轭进行处理,在此基础上结合宽线性前置滤波(WLP)的思想,减小信号的插入损耗,显著地减轻了由频率选择性衰落信道引起的码间干扰。通过Matlab仿真比较了基于宽线性前置滤波处理的卡尔曼均衡滤波算法在不同接收天线数以及不同调制方案下的系统性能,并与传统的最小均方误差(MMSE)均衡算法进行比较。仿真结果表明,该算法使系统在高信噪比的条件下误码率有明显的下降,且在同样提高了系统性能的前提下,具有较低的复杂度。
The STBC system uses Kalman equalization algorithm to process the received signal sequence and its complex conjugate. On the basis of this, combined with the idea of wide linear pre-filter (WLP), the signal insertion is reduced Loss, significantly reducing intersymbol interference caused by frequency-selective fading channels. The performance of the Kalman filter based on the wide linear pre-filter is compared with that of the traditional minimum mean square error (MMSE) equalization algorithm by Matlab simulation under different receiving antennas and different modulation schemes. The simulation results show that the proposed algorithm can significantly reduce the bit error rate of the system under the condition of high signal-to-noise ratio and lower complexity with the same increase of system performance.