基于OFDM信號(hào)周期平穩(wěn)特性的盲信道估計(jì)算法
A Cyclostationarity-Based Approach to Blind Channel Identification for an OFDM System
-
摘要: 該文提出一種基于信號(hào)周期平穩(wěn)特性的盲信道估計(jì)算法,用于頻率選擇性衰落環(huán)境下的正交頻分復(fù)用(OFDM)系統(tǒng)。該算法利用OFDM信號(hào)本身具有的周期平穩(wěn)特性以及其周期自相關(guān)函數(shù)值的能量分布規(guī)律,確定信道階數(shù),并通過(guò)確定信道零點(diǎn)的方法間接獲得信道沖激響應(yīng)。理論和仿真結(jié)果表明,與其它的盲信道估計(jì)算法相比,該算法不僅可以較準(zhǔn)確地獲得信道階數(shù),而且降低了信道估計(jì)的均方誤差。
-
關(guān)鍵詞:
- OFDM;周期平穩(wěn)特性;盲信道估計(jì)
Abstract: An approach, which exploits the cyclostationarity of the received signal, to blind channel identification for an OFDM system in frequency selective channel is presented in this paper. First, by utilizing the power distribution of the cyclic autocorrelation function of the received signal, the order of the channel is achieved. Then, the estimated channel is got by identifying its zeros. Finally, simulation results are provided to show that it is superior to the other algorithms. -
Giannakis G B, Hua Yingbo, Stoica P, Tong Lang. Signal Processing Advances in Wireless and Mobile Communications, vol.1: Trends in Channel Estimation and Equalization. Beijing:Prentice.Hall PTR, 2002, Chap.1.[2]Gardner W A. Exploitation of spectral redundancy in cyclostationary signals. IEEE Signal Processing Magazine, 1991, 39(14): 14.36.[3]Tong Lang, Xu Guanghan, Hassibi B, Kailath T. Blind channel identification based on second-order statistics: A frequency-domain approach[J].IEEE Trans. on Information Theory.1995, 41(1):329-[4]Tong Lang, Xu Guanghan, Hassibi B, Kailath T. Blind channel identification based on second-order statistics: A time-domain approach[J].IEEE Trans. on Information Theory.1994, 40(2):340-[5]Heath R W Jr., Giannakis G B. Exploiting input cyclostationarity for blind channel identification in OFDM system. IEEE Trans. on Signal Proceesing, 1999, 47(3): 848856. .[6]Van de Beek J J, Edfors O, Sandell M, Wilson S K, Borjesson P O. On channel estimation in OFDM system[J].Proceeding of IEEE VTC95, Chicago, Jul.1995, vol.2:815819- -
計(jì)量
- 文章訪問(wèn)數(shù): 2391
- HTML全文瀏覽量: 114
- PDF下載量: 925
- 被引次數(shù): 0