Abstract
This paper introduces a new class of rate less forward error correction codes named semi-random Kite (SR-Kite) codes, which can be described by a sparse semi-random parity-check matrix in systematic form. SR-Kite codes have not only rate less property, but also low error floors. We present a simulation-based greedy optimization algorithm to design the degree distribution of SR-Kite codes for independent Rayleigh fading channels. The performances of SR-Kite codes under maximum likelihood decoding are analyzed for both AWGN and independent Rayleigh fading channels via union bound. Both the analysis and simulation results show that the proposed codes perform well over AWGN and fading channels within a wide range of signal-to-noise-ratios.
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