Iterative decoding of coded GMSK with discriminator detection
Issue Date:
2001
Abstract (summary):
In this thesis, a communications system using the modulation scheme Gaussian minimum shift keying (GMSK) together with a serially concatenated coding system is studied under additive white Gaussian noise conditions and fading. The receiver used is the non-coherent frequency discriminator combined with an iterative decoding scheme. Using both 'maximum a posteriori ' (MAP) based algorithms and the soft-output Viterbi algorithm (SOVA) for decoding, the performance trade-off associated with applying a sub-optimal algorithm to the system is investigated. The impact of using a less accurate likelihood statistic to simplify calculations at the output of the discriminator is also examined. In a fading channel, the likelihood statistic is improved by adding side-information obtained from the signal envelope. Other parameters considered include the outer code and joint demodulation/decoding. Through simulation, it is shown that good performance can be obtained by this system even with relatively simple codes.
Content Type:
Thesis
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