A new channel order estimation algorithm for FIR SIMO channels

Channel order estimation problem is considered for FIR (Finite Impulse Response) modeled single-input multi-output (SIMO) communication systems. The performance of the channel estimation algorithms depends on the accuracy and robustness of the channel order estimation. A new channel order estimation algorithm with high accuracy and robustness is proposed for SIMO systems. The proposed algorithm is based on the least squares smoothing (LSS) algorithm for channel estimation. It is guaranteed to find the true channel order from finite number of samples for noise free case. Several experiments are performed and it is shown that the proposed algorithm significantly enhances the performance in channel order estimation in noisy observations. The comparisons with the alternative techniques show that the proposed method is very effective for the channel order estimation.