MCMA盲均衡算法的FPGA高效实现

Effective implementation of modified constant modulus algorithm for blind equalizer based on FPGA

修正恒模算法(MCMA)是一种有效的针对QPSK信号盲均衡算法。在Artix-7系列的XC7A200T-2SBG484芯片上,采用流水线结构,结合高时钟以及乘法器复用等方式,实现MCMA盲均衡算法;分析验证步长参数与算法性能的制约关系,选出最优化的步长参数。在保证算法误码性能和收敛速度的前提下,有效降低了算法实现复杂度,使用较少的硬件资源达到了理想的均衡效果。在此基础上,应用试飞采集数据于均衡器,验证结果表明,该均衡器在占用较少硬件资源的条件下性能优良,接收端的解调信噪比降低4 dB。

The modified constant modulus algorithm(MCMA)acts as an efficient blind equalization algorithm for QPSK signal.The blind equalization algorithm using MCMA was implemented by adopting pipeline architecture on Artix-7series XC7A200T-2SBG484chip,and combining the modes of high clock and multiplier reuse.The restrictive relationship between step parameter and algorithm performance is verified,and the optimized step parameter is selected.On the premise of guaranteeing the bit error rate and convergence speed of the algorithm,the implementation complexity of algorithm is reduced effectively,and the satisfied equalization effect is realized with less hardware resources.The data collected from the flight test is applied to the equalizer.The verification results show that the equalizer with less hardware resources can achieve high performance,and the demodulation signal-to-noise ratio of the receiving end is reduced by4dB.