A Frequency Domain State-Space Approach to LS Estimation and Its Application in Turbo Equalization
Qinghua Guo, Defeng David Huang · IEEE Transactions on Signal Processing · 2011
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 timevarying frequency selective channels in turbo equalization systems, and channel estimation approaches with complexity per symbol are developed, where is the number of channel taps.