Joint synchronization and decoding for photon -limited optical channels: Code design and complexity reduction

Shu-Ming Tseng, Purdue University

Abstract

In the first topic of this thesis, we will consider the problem of joint symbol synchronization and decoding of pulse position modulation (PPM) sequences in the deep-space photon-limited optical channel, where joint synchronization and decoding is significantly superior to separate synchronization and decoding. We also consider the design of codes having both good error control and synchronization properties for use with PPM signaling on this channel. While schemes for joint synchronization and decoding on this channel have been previously investigated, the complexity of these schemes has been prohibitive. In addition, their optimality with respect to computational complexity depends on the assumption that symbols are statistically independent and hence uncoded. We propose a two-stage joint synchronizer and decoder that achieves a selected performance requirement (e.g., error probability < 10–5 ) while reducing the complexity of joint synchronizer and decoder. The complexity is reduced by terminating synchronization once this error probability requirement is achieved, at which point the synchronizer/decoder functions only as a decoder on the remaining symbols in the received sequences. Therefore, the proposed scheme has practical complexity in the deep-space photon-limited optical channel, which may be used in future deep-space missions. In the second topic (Chapter 6), the use of sets of multiple spreading sequences per user in multicarrier CDMA is investigated. Each user is assumed to have a distinct set of spreading sequences, with a different spreading sequence for each carrier in each user's set. We show that when these sets of sequences are chosen to be the mutually orthogonal complementary sets of sequences, multiple access interference is zero on a nonfading channel and a higher data rate is possible.

Degree

Ph.D.

Advisors

Bell, Purdue University.

Subject Area

Electrical engineering

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