Title :
A Low Complexity Velocity-Adaptive Channel Estimation Method Based on Spectrum Characteristic
Author :
He, Tingyu ; Qiu, Ling ; Zhu, Jinkang
Author_Institution :
PCN&SS Lab., Univ. of Sci. & Technol. of China, Hefei
Abstract :
A velocity-adaptive channel estimation method using a lowpass filter is proposed. The bandwidth of the filter is determined by searching the spectrum autocorrelation results for the second highest peak location. The components which are higher than the maximum Doppler frequency are forced to zeros because they are just from noise if there is no spectrum leakage, which is in fact not the real case due to the truncation in the time domain. Therefore, a compensation for the removed leaking signal is made after zero forcing (ZF). Computer simulation shows that, in a wide range of mobile speed, the performance of the proposed estimation method in terms of the mean square error (MSE), is close to that of the ideal case in which Doppler frequency is perfectly known, and the compensation for the leaking signals improves the accuracy of channel estimation.
Keywords :
channel estimation; correlation methods; low-pass filters; mean square error methods; mobile communication; low complexity velocity-adaptive channel estimation; lowpass filter; maximum Doppler frequency; mean square error; spectrum autocorrelation; spectrum characteristic; Autocorrelation; Bandwidth; Channel estimation; Computer simulation; Delay estimation; Finite impulse response filter; Frequency domain analysis; Frequency estimation; Higher order statistics; IIR filters;
Conference_Titel :
Vehicular Technology Conference, 2006. VTC-2006 Fall. 2006 IEEE 64th
Conference_Location :
Montreal, Que.
Print_ISBN :
1-4244-0062-7
Electronic_ISBN :
1-4244-0063-5
DOI :
10.1109/VTCF.2006.332
