Time-domain FMT Channel Estimation Algorithm Based on Noise Power Estimation
Jin Guo-ping, Hua Zhong, Linhua Zheng · Jisuanji fangzhen · 2008
Channel Estimation could be performed based on the characteristic of PN periodic correlation. But the estimation was biased and influenced largely by channel noise when SNR was low. Thereby a new unbiased FMT channel estimation algorithm grounded on channel noise power estimation was proposed. Using the characteristic of estimated parameters, remaining DC bias was eliminated completely. Moreover the channel noise power was estimated utilizing in the pilot sequence. Using the estimated noise power, multipath weights, whose energy was small and which were interfered seriously by channel noise, were selected to be set to zeros. The algorithm reduced the influence of channel noise on estimating precision and improved the performance of channel estimation.