An anti-jamming DOA estimation method with space hopping

Xinsheng Ji, Liang JIN, Suxia GUO, Lu Liu, Xiangyu Li · Scientia Sinica Informationis · 2016

The conventional subspace method cannot accurately estimate the direction of arrival (DOA) of the signal with the presence of a jammer close to it because their combined channel matrix rank is deficient. The paper proposes a novel anti-jamming DOA estimation method by introducing an artificially controllable space-hopping channel and space-hopping pattern. The method causes the equivalent spatial channel of the signal to change dynamically in a symbol cycle, which can promote the channel difference between the jammer and signal source. Therefore, the method can prevent the jammer from influencing the signal, and improve the resolution of the DOA estimation. Because N hops are equivalently regarded as spawning N pairs of virtual arrays in space, the virtual elements and the subspace dimension are greatly increased, which can greatly improve the performance of DOA estimation. The simulation results verify the effectiveness of the algorithm.

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