Abstract
With the aid of blanking nonlinearity, the low density parity check (LDPC) coded bit-interleaved coded modulation (BICM) has been jointly considered as a robust mitigation for the impulsive interference in orthogonal frequency division multiplexing (OFDM) systems. However, the Gaussian assumption for the nonlinear channel conditional probability induces the mismatched L-values in the conventional MAP demodulator. In this paper, combined with the pulse blanking optimization via the PEXIT analysis, we propose a novel MAP demodulator based on the Gaussian mixture model (GMM) and estimate the parameters with the expectation-maximization (EM) algorithm. Taking the L-band Digital Aeronautical Communication System Type1 (L-DACS1) as an example, the GMM-based MAP demodulator can obtain the PEXIT thresholds that match the decoding curves well and provide the better BER performance in the interference-limit channel environment.
Highlights
Orthogonal frequency division multiplexing (OFDM) has been regarded as a high data-rate and bandwidth-efficient technique that is widely adopted in modern wireless communication systems [1], e.g., the L-band digital aeronautical communication system type1 (L-DACS1) for air-to-ground and air-to-air aeronautical communications
We propose a novel maximum a posteriori (MAP) demodulator based on the Gaussian mixture model (GMM) in the low density parity check (LDPC) coded bitinterleaved coded modulation (BICM) receiver, taking into account the characteristic of blanking nonlinearity
Considering the influence of LDPC codes, we investigate the threshold optimization for pulse blanking using the modified protograph based extrinsic information transfer (PEXIT) analysis
Summary
Orthogonal frequency division multiplexing (OFDM) has been regarded as a high data-rate and bandwidth-efficient technique that is widely adopted in modern wireless communication systems [1], e.g., the L-band digital aeronautical communication system type (L-DACS1) for air-to-ground and air-to-air aeronautical communications. He et al.: Gaussian Mixture Learning for LDPC Coded BICM Receivers With Blanking Nonlinearity including an inner loop and an outer loop. There is no research on applying GMM for enhancing robustness of the impulsive interference in the BICM receiver with the blanking nonlinearity. We propose a novel MAP demodulator based on the GMM in the LDPC coded BICM receiver, taking into account the characteristic of blanking nonlinearity.
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