A New State Estimation Algorithm of Wireless Channel

Yacoub M D, Bautistu J E V, Guerra de Rezende Guedes L. On higher order statistics of the Nakagami-distribution[J].IEEE Trans.on Veh. Tech.1999, 48(3):790-[2]Nakagami M. The m-distribution--a general formula of intensity distribution of rapid fading, Statistical Methods in Radio Wave Propagation Conference, W. C. Hoffman, Ed. Elmsford, NY:Pergamon, 1960, 1: 3 - 36.[3]Abdi A, Kaveh M. Performance comparison of three different estimators for the Nakagami m parameter using Monte Carlo simulation[J].IEEE Comm. Lett.2000, 4(4):119-[4]Zhang Q T. A note on the estimation of Nakagami m fading parameter[J].IEEE Comm. Lett.2002, 6(6):237-[5]Greenwood J A, Durand D. Aids for fitting the Gamma distribution by maximum likelihood[J].Technometrics.1960, 2(1):55-[6]Cheng J, Beaulieu N C. Maximum-likelihood based estimation of the Nakagami m parameter[J].IEEE Comm. Lett.2001, 5(3):101-103[7]Cheng J. Generalized moment estimators for the Nakagami fading parameters[J].IEEE Comm. Lett.2002, 6(4):144-[8]Summers T A, Wilson S G. SNR mismatch and online estimation in turbo decoding[J].IEEE Trans. on Comm.1998, 46(4):421-423[9]Ramesh A, Choekaligam A, Milstein L B. SNR estimation in generalized fading channels and its application to turbo decoding,2001 International Conference on Communication, Helsinki,Finland, 2001, 4:1094 - 1098.[10]吴湛击,孟德香,吴伟陵.无线信道下turbo码的信噪比估值新算法[J].电子与信息学报.2005,27(2):181-184浏览[11]Wu Zanji, Meng Dexing, Wu Weiling. On the channel estimation of turbo codes, 2003 International Conference on Communication Technology, Beijing, 2003. [12]Ramesh A, Chockalingam A, Milstein L B. SNR estimation in Nakagami m fading with diversity combining and its application to turbo decoding. IEEE Trans. on Comm., 2002, 50(11): 1719-1724.