Carrier estimation algorithm based on novel hybrid particle filtering
-
摘要: 针对粒子滤波载波估计算法的高复杂度、粒子退化及贫化问题,提出了一种基于混合粒子滤波的载波估计方法.该方法引入多阶马尔科夫模型,采用多个非零均值高斯分布的加权和来近似重要性函数的最佳选择,并根据最大后验概率准则规范粒子的迭代计算.仿真结果表明,在非高斯噪声环境下,低轨卫星通信TDMA/DEQPSK(Time Division Multiple Address/Differential Quadrature Phase Shift Keying)数据帧非合作接收载波估计时,与基于经典粒子滤波的载波估计算法相比,提高了粒子"效率",在误码性能相当的情况下,有效降低了计算复杂度.Abstract: To reduce the computation complexity and improve the weight degeneracy and loss of diversity about the particles in particle-filtering (PF) based carrier estimation, a novel hybrid particle filter based carrier estimation algorithm was proposed and the method for assigning particle weights of the proposed PF algorithm (PPF) was derived. In this algorithm, the m-order Monte Carlo Markov chain was introduced and the optimal importance function-the posterior importance function was approximated by a weighted sum of non-zero mean Gaussian distributions and the iterative computation of the particles was constrained by the maximum a posterior (MAP) criterion. In non-Gaussian environment, by applying the algorithm in the non-cooperative receiver of the time division multiple address/differential quadrature phase shift keying(TDMA/DEQPSK) data frame in low earth orbit (LEO) satellite communication system, it is found that the efficiency of the particles is improved and the computational complexity is reduced compared to the carrier estimation algorithm based on the traditional PF.
-
[1] Hwang Syang-Myau,Yu Mao,Yang Lin.A low complexity carrier recovery and frequency estimation algorithm for Iridium handset system[C]// Wireless Communications and Networking Conference (WCNC).New Orleans,USA:IEEE,1999:1208-1211 [2] Caponi M,Frescura F,Sereni E,et al.Digital front end for satellite LEO applications on W band[C]// Vehicular Technology Conference (VTC).Birmingham:IEEE,2002:2308-2312 [3] Wannasarnmaytha A,Hara S.Two-step kalman-filter-based AFC for direct conversion-type receiver in LEO satellite communications [J].IEEE Transactions on Vehicular Technology,2000, 49(1):246-253 [4] Chen Zhe.Bayesian filtering:from kalman filter to particle filters [EB/OL].Hamilton,Canada:Adaptive Syst Lab,McMaster Univ,2003[2011-12-15].http://users.isr.ist.utl.pt/ jpg/tfc0607/chen_bayesian.pdf [5] Ng W,Ji Chunlin,Ma W K,et al.A study on particle filters for single-tone frequency tracking [J].IEEE Transactions on Aerospace and Electronic Systems,2009,45(3):1111-1125 [6] Zhang Hua,Pan Peng,Zhang Youguang.Two-step particle-filter-based AFC for LEO satellite receiver with impulsive noise[C]//WASE International Conference on Information Engineering.BeiDaihe,China:IEEE,2010:122-126 [7] Marshall A W.The use of multi-stage sampling schemes in monte carlo computations[C]//Symposium of Monte Carlo Methods.New York:John Wiley & Sons,1956:123-140 [8] Gordon N J,Salmond D J,Smith A F M.Novel approach to nonlinear/non-Gaussian Bayesian state estimation [J].IEEE Proceedings F Radar and Signal Processing,1993,140(2):107-113 [9] Pan Pan,Schonfeld D.Visual tracking using high-order particle filtering [J].IEEE Signal Processing Letters,2011,18(1):51-54 [10] 张欣.扩频通信数字基带信号处理算法及其VLSI实现[M].北京:科学出版社,2004:36-38 Zhangxin.Spread spectrum communication digital baseband signal processing algorithms and their VLSI implementation [M].Beijing:Science Press,2004:36-38(in Chinese) [11] 郭衍莹.锁频环用作跟踪滤波器时的一些特性[J].通信学报,1984(3):44-51 Guo Yanying.Some characteristics of frequency-locked loop as tracking filter [J].Journal on Communications,1984(3):44-51(in Chinese) [12] Elliott D K.Understanding GPS principles and applications [M].Beijing:Publishing House of Electronics Industry,2002:86-88,93-96 -
点击查看大图
计量
- 文章访问数: 1597
- HTML全文浏览量: 155
- PDF下载量: 622
- 被引次数: 0
下载:
