2007 IEEE International Symposium on Circuits and Systems (ISCAS) 2007
DOI: 10.1109/iscas.2007.378162
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Linear Prediction Based Semi-Blind Channel Estimation for MIMO-OFDM System

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Cited by 18 publications
(6 citation statements)
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“…However, compared to the direct pseudo inversion ofỸỸ used in (35) and in most of conventional LP based MIMO blind equalizers [5], [11], the QR-decomposition based method in (39) shows much better robustness against channel order overestimation, as demonstrated in our simulation results later. To emphasize the proposed MLP based channel estimation algorithm using the QR-decomposition based LPEFs, we refer to it as the "MLP-QR" based method in the paper.…”
Section: Semiblind Channel Estimationmentioning
confidence: 65%
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“…However, compared to the direct pseudo inversion ofỸỸ used in (35) and in most of conventional LP based MIMO blind equalizers [5], [11], the QR-decomposition based method in (39) shows much better robustness against channel order overestimation, as demonstrated in our simulation results later. To emphasize the proposed MLP based channel estimation algorithm using the QR-decomposition based LPEFs, we refer to it as the "MLP-QR" based method in the paper.…”
Section: Semiblind Channel Estimationmentioning
confidence: 65%
“…To avoid this problem, in this section we present an alternative approach to fulfill the LPEFs in (9) and (21) based on QRdecomposition. It is worthwhile to mention that this channel order overestimation problem never occurs for OFDM systems with sufficient guard interval, as reported in [3] and [5]. Let us illustrate the proposed QR-decomposition method by considering the LP problem in (10) for = 0.…”
Section: Semiblind Channel Estimationmentioning
confidence: 93%
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“…The objective of this paper is to investigate the performance of the MB-OFDM based PHY layer over IEEE UWB channel models [13] and to make comparison with a competitive pulsed-MB-OFDM approach [12,14,15]. Optimal choice of some critical system parameters like Cyclic Prefix (CP) length and number of subcarriers (IFFT/FFT size) is also discussed.…”
Section: Introductionmentioning
confidence: 99%
“…In [16] the prediction error of the received signal is minimized to obtain blind and semi-blind channel estimate, the technique involves matrix decomposition and general matrix inverse. In study [17], a combination of pilotbased LS and blind linear prediction of the received signal is proposed form MIMO channel estimation. While in [18] blind and semi-blind estimate of the channel are proposed based on the linear prediction of the received signal which involves matrix decomposition and inversion.…”
mentioning
confidence: 99%