Abstract
We investigate the optimal minimum mean square error (MMSE) long range prediction (LRP) algorithm for slow frequency hopping (SFH) systems that employ coherent detection. Statistical model of the prediction accuracy is developed and used in the design of reliable adaptive modulation techniques. Moreover, adaptive modulation is combined with adaptive transmitter frequency diversity to mitigate the effect of fading and partial-band interference. Both standard Jakes model and a realistic physical model are employed to test the performance. Analysis and simulation results show that significant performance gains can be achieved relative to non-adaptive methods.
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