摘要
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。
In the space time block code（STBC） systems,the proposed equalization algorithm,based on widely linear prefiltering（WLP） thoughts and with kalman equalizer,could significantly reduce signal insertion loss and alleviate the inter-symbol interference（ISI） caused by frequency selective fading channel,and jointly processes the received sequence and its complex conjugate.Combined with the thoughts of widely linear prefiltering,the simulation with Matlab and in different receiving antenna numbers and modulation schemes is done,and the proposed algorithm is also compared with traditional MMSE algorithms.Simulation results show that the proposed algorithm,with low complexity could remarkably reduce BER in higher SNR condition and improve the system performance.
出处
《通信技术》
2011年第6期9-11,14,共4页
Communications Technology
基金
德国罗德与施瓦茨公司资助
