Soft-metric based channel decoding for photon counting receivers

Abstract

We address photon-number-assisted, polarization- based, binary communication systems equipped with photon counting receivers. In these channels information is encoded in the value of polarization phase-shift but the carrier has and additional degree of freedom, i.e. its photon distribution, which may be exploited to implement binary input-multiple output (BIMO) channels also in the presence of a phase-diffusion noise affecting the polarization. Here we analyze the performances of these channels, which approach capacity by means of iteratively decoded error correcting codes. In this paper we use soft-metric- based low density parity check (LDPC) codes for this purpose. In order to take full advantage of all the information available at the output of a photon counting receiver, soft information is generated in the form of log-likelihood ratios, leading to improved frame error rate (FER) and bit error rate (BER) compared to binary symmetric channels (BSC). We evaluate the classical capacity of the considered BIMO channel and show the potential gains that may be provided by photon counting detectors in realistic implementations.

8 pages, 8 figures, to appear on the IEEE Journal of Selected Topics in Quantum Electronics

References in corpus (5)

• Discrimination of binary coherent states using a homodyne detector and a photon number resolving detector
• Bayesian estimation of one-parameter qubit gates
• Quantum receivers with squeezing and photon-number-resolving detectors
• Manipulating the non-Gaussianity of phase-randomized coherent states
• Suppressing the Errors due to Mode Mismatch for M-ary PSK Quantum Receivers by Photon-Number-Resolving Detector

Cited by in corpus (2)

• Optimized communication strategies with binary coherent states over phase noise channels
• Phase noise mitigation by a realistic optical parametric oscillator