MCMA盲均衡算法的FPGA高效实现
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摘要
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-7 series XC7 A200 T-2 SBG484 chip,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 by 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-7 series XC7 A200 T-2 SBG484 chip,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 by 4 dB.
引文
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[10]吴迪,霍亚娟,葛临东,等.高阶QAM信号盲均衡算法及其FPGA实现[J].计算机工程,2010,36(15):233-239.WU Di,HUO Yajuan,GE Lindong,et al.Blind equalization algorithm of high-order QAM signal and its FPGA-based implementation[J].Computer engineering,2010,36(15):233-239.
[11]朱振超,梁广真.一种新型变步长CMA盲均衡算法[J].现代电子技术,2014,37(18):56-58.ZHU Zhenchao,LIANG Guangzhen.A new variable step-size CMA blind equalization algorithm[J].Modern electronics technique,2014,37(18):56-58.
[12]ASHMAWY D,BANOVIG K,RAHEEM E A,et al.Joint MCMA and DD blind equalization algorithm with variablestep size[C]//2009 IEEE International Conference on Electro/Information Technology.Windsor:IEEE,2009:174-177.
[2]OH K N,CHIN Y O.Modified constant modulus algorithm:blind equalization and carrier phase recovery algorithm[C]//Proceedings of 1995 IEEE International Conference on Communications.Seattle:IEEE,1995:498-502.
[3]GODARD N.Self-recovering equalization and carrier tracking in two-dimensional data communication systems[J].IEEE transactions on communications,1980,28(11):1875-1886.
[4]LEE L.A modified blind equalization technique based on a constant modulus algorithm[C]//1998 IEEE International Conference on Communications.Atlanta:IEEE,1998:344-348.
[5]张丹丹.盲均衡算法及其FPGA实现的研究[D].秦皇岛:燕山大学,2013:20-21.ZHANG Dandan.Research of blind equalization algorithm and its FPGA implementation[D].Qinhuangdao:Yanshan University,2013:20-21.
[6]JIANG Zhixiang,ZHANG Meng,LI Zichuang,et al.A newly high-speed MCMA algorithm for QAM system[C]//The 4th International Conference on Wireless Communications,Networking and Mobile Computing.Dalian:IEEE,2008:1-4.
[7]钱小云,白勇博,田兆平,等.基于System Generator的MCMA算法盲均衡器的FPGA实现[J].江苏科技信息,2016,6(18):54-56.QIAN Xiaoyun,BAI Yongbo,TIAN Zhaoping,et al.The FP-GA implementation of MCMA blind equalizer based on system generator[J].Jiangsu science&technology information,2016,6(18):54-56.
[8]RAO Wei,ZHANG Xingwang.New concurrent blind equalization algorithm suitable for high-order QAM signals[C]//The5th International Conference on Fuzzy System and Knowledge Discovery.Shandong:IEEE,2008:177-181.
[9]郝放,闵洁,孙志远.基于MCMA的盲均衡算法[J].无线电通信技术,2014,40(1):41-43.HAO Fang,MIN Jie,SUN Zhiyuan.Blind equalization algorithm based on MCMA[J].Radio communication technology,2014,40(1):41-43.
[10]吴迪,霍亚娟,葛临东,等.高阶QAM信号盲均衡算法及其FPGA实现[J].计算机工程,2010,36(15):233-239.WU Di,HUO Yajuan,GE Lindong,et al.Blind equalization algorithm of high-order QAM signal and its FPGA-based implementation[J].Computer engineering,2010,36(15):233-239.
[11]朱振超,梁广真.一种新型变步长CMA盲均衡算法[J].现代电子技术,2014,37(18):56-58.ZHU Zhenchao,LIANG Guangzhen.A new variable step-size CMA blind equalization algorithm[J].Modern electronics technique,2014,37(18):56-58.
[12]ASHMAWY D,BANOVIG K,RAHEEM E A,et al.Joint MCMA and DD blind equalization algorithm with variablestep size[C]//2009 IEEE International Conference on Electro/Information Technology.Windsor:IEEE,2009:174-177.