Abstract：In allusion to the low efficiency of traditional spectrum access strategies caused by high spectrum sensing uncertainty of satellite cognitive communication network, a novel optimized channel access strategy based on dynamic multi-spectrum sensing is proposed. The cognitive LEO satellite could adjust the probability of channel access in time with different spectrum sensing results according to the relationship between spectrum detection probability and maximum interference threshold of primary user. In order to achieve the maximize throughput of cognitive system, a strategy for decision threshold selection based on joint optimization between spectrum detection probability and false alarm probability is designed, and the optimized number of sensing spectrums is derived. Simulation results indicate that cognitive LEO satellite is able to select optimized spectrum sensing strategy dynamically according to the idle states of primary channels with the interference limitation of primary user, and access primary channels more positively especially when the signal-to-noise ratio of detecting signals is low. The influence of spectrum sensing uncertainty on the efficiency of channel access is depressed and the throughput of cognitive system is improved by the proposed channel access strategy.
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