Blind estimation of MIMO channels with an upper bound for channel orders

• Published in: Signal processing Vol. 86; no. 2; pp. 212 - 222
• Main Authors: Zeng, Yonghong, Ng, Tung Sang
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier B.V 01.02.2006; Elsevier Science
• Subjects: Applied sciences; Blind channel identification; Channel estimation; Detection, estimation, filtering, equalization, prediction; Exact sciences and technology; Information, signal and communications theory; MIMO; Order overestimation; Second-order statistics; Signal and communications theory; Signal, noise; Telecommunications and information theory; MIMO; Blind channel identification; Order overestimation; Channel estimation; Second-order statistics; Statistical method; MIMO system; Simulation; Pulse response; Blind identification; Algorithm; Mean square error
• ISSN: 0165-1684; 1872-7557
• DOI: 10.1016/j.sigpro.2005.04.014

Many known second-order statistics (SOS)-based blind algorithms for MIMO channel estimation, including the subspace (SS) and linear prediction (LP) method, are sensitive to channel-order overestimations. To overcome this problem, an algorithm is proposed in [IEEE Trans. Signal processing 50(6) (2002) 1449–1458] for the SIMO system only, and then its simple generalization to the MIMO system is presented in [Signal Processing 84(2) (2004) 435–439]. In this paper, improvements and refinements on the algorithm in [Signal Processing 84(2) (2004) 435–439] are given, which makes the method robust to noise and round-off error. The method can give estimations of all channel impulse responses subject to a matrix ambiguity when only an upper bound for all MIMO channel orders is known. Simulations show that the algorithm is effective and robust.