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A Frequency Domain State-Space Approach to LS Estimation and Its Application in Turbo Equalization

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2 Author(s)
Qinghua Guo ; Sch. of Electr., Univ. of Western Australia, Crawley, WA, Australia ; Defeng Huang

A frequency domain state-space approach to the least squares (LS) estimation for finite impulse response (FIR) system identification is proposed by exploiting the Toeplitz structure of the data matrix, leading to two low-complexity FFT (fast Fourier transform)-based unbiased recursive estimators. The proposed recursive estimators are applied to the smoothing estimation of time-varying frequency selective channels in turbo equalization systems, and channel estimation approaches with complexity O(logL) per symbol are developed, where L is the number of channel taps.

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Signal Processing, IEEE Transactions on  (Volume:59 ,  Issue: 7 )