基于子空間分解的OFDM信道盲辨識
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用(OFDM)信道的盲辨識算法,將OFDM信號等效為單輸入多輸出的過采樣信號,采用過采樣信號的循環(huán)穩(wěn)態(tài)特性和子空間分解方法估計信道參數,算法不需要任何訓練序列和周期性的引導信號,實現了0FDM信道的盲辨識。對于寬帶OFDM移動通信系統(tǒng),通常子信道數較大,信道響應持續(xù)時間短于0FDM符號周期,因此,可以將整個系統(tǒng)分為若干個子系統(tǒng),各子系統(tǒng)分別進行信道辨識,能有效地降低信道估算的復雜性。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.
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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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