基于子空間分解的OFDM信道盲辨識(shí)
Blind channel identification for OFDM based on subspace decomposition
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摘要: 該文提出一種基于子空間分解的正交頻分復(fù)用(OFDM)信道的盲辨識(shí)算法,將OFDM信號(hào)等效為單輸入多輸出的過(guò)采樣信號(hào),采用過(guò)采樣信號(hào)的循環(huán)穩(wěn)態(tài)特性和子空間分解方法估計(jì)信道參數(shù),算法不需要任何訓(xùn)練序列和周期性的引導(dǎo)信號(hào),實(shí)現(xiàn)了0FDM信道的盲辨識(shí)。對(duì)于寬帶OFDM移動(dòng)通信系統(tǒng),通常子信道數(shù)較大,信道響應(yīng)持續(xù)時(shí)間短于0FDM符號(hào)周期,因此,可以將整個(gè)系統(tǒng)分為若干個(gè)子系統(tǒng),各子系統(tǒng)分別進(jìn)行信道辨識(shí),能有效地降低信道估算的復(fù)雜性。
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關(guān)鍵詞:
- 正交頻分復(fù)用; 信道估計(jì); 盲辨識(shí); 子空間分解
Abstract: In this paper, a blind identification algorithm based on subspace decomposition for OFDM channels is proposed. Taking the received OFDM signal as an equivalent Single Input-Multiple Output (SIMO) oversampled signal, the channels parameters are estimated by subspace method.Without any training sequences and periodic pilot signals, blind channel identification for OFDM system is realized. The broadband OFDM mobile communication system usually has a number of subchannels and its channels response period is less than the OFDM symbols period, so it is better to divide the whole system into several subsystems, then each of them can be estimated separately with less complication. -
R. van Nee, R. Prasad, OFDM for Wireless Multimedia Communications, Boston, London, Artech House 2000, 95-118.[2]J.G. Proakis, Digital Communications, 3rd ed., New York, McGrav Hill, 1995, Ch. 6. ［3］S. Haykin, Adpative Filter Theory, 3rd ed., Englewood Cliffs, Prentice-Hall Inc., 1996, Ch. 18.[3]L. Tong, G. Xu, T. Kailath, Fast blind equalization via antenna arrays, in Proc. ICASSP,Minneapolis, Minnesota, 1993, 4, 272-275.[4]E. Moulines, P. Duhamel, J.-F. Cardoso, S. Mayrargue, Subspace methods for blind identification of multichannel FIR filters, IEEE Trans. on Signal Processing, 1995, SP-43(2), 516-525. -
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