On Error Correction for Asynchronous Communication Based on Iterative Processing

A forward error correction scheme for asynchronous sensor communication is proposed, where a continuous-time sparse waveform signal is asynchronously sampled and communicated over a noisy channel via Q-ary frequency-shift keying. The presented concatenated code employs outer systematic convolutional codes and inner embedded marker codes, which effectively preserve the timing information along with a protection against symbol insertions and deletions. We show that by iteratively decoding marker and convolutional codes along with interleaving a short block of parity bits a significant reduction in terms of the expected end-to-end distortion between original and reconstructed signals can be obtained compared to non-iterative processing.