Low-Complexity Photonic Wireless Channel Estimation System Based on Matrix- Condition-Number Theory

This is the authors' abstract. We don't add key points for this paper.

We propose a photonic channel estimation architecture for wireless communication systems with reduced hardware complexity. This work can achieve high-accuracy channel estimation with low cost, solving the problem of existing architecture being too complicated to be practically deployed. Using matrix-condition-number theory, we derived a simplified method to conduct Fourier matrix. Hardware complexity is therefore reduced by tens to hundreds times in OFDM systems. The proof-of-concept experiment was conducted in an OFDM system with 8 channel paths, which contains 128/256/512 subcarriers, respectively. Experimental results show that the mean square errors between the experimental channel state information and practical channel state information lie on the order of 10-4. And the bit error rate is obviously below the forward error correction threshold, satisfying the requirements of OFDM wireless communication.