Convolutionally encoded FFH-MFSK: demodulation and frequency tracking over frequency-varying jammed channels

摘要

A novel soft decision metric for the Viterbi demodulation and decoding of convolutionally encoded fast-frequency-hopped M-ary frequency shift keying (FFH-MFSK) is described. The effectiveness of two possible hop-by-hop AGC methods is evaluated for use with metric calculation methods to optimise the worst-case partial-band-jamming performance. The metric is shown to improve the worst-case jamming bit-error-rate (BER) performance for M