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Sparse Direction of Arrival Estimation Using Sparse Arrays Based on Software-Defined-Radio Platform
Direction of arrival (DOA) estimation techniques estimate the angle from which the signal is received. Using multiple antennas, the best DOA estimate is found by comparing the signals from these antennas and their phase shifts. Optimizing the arrangements of these antennas can greatly increase the accuracy of the system and decrease the cost of a Radio Direction Finding (RDF) system. In this paper, a Software-Defined-Radio (SDR) platform is implemented for sparse DOA estimation based on sparse array configurations. The results show that it is possible to estimate the location of more targets without increasing the number of antennas using sparse arrays.