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Published April 2015 | metadata_only
Book Section - Chapter

Coprime arrays and samplers for space-time adaptive processing


This paper extends the use of coprime arrays and samplers for the case of moving sources. Space-time adaptive processing (STAP) plays an important role in estimating direction-of-arrivals (DOAs) and radial velocities of emitting sources. However, the detection performance is fundamentally limited by the array geometry and the temporal samplers at each sensor. Coprime arrays and coprime samplers offer an enhanced degree of freedom of O(MN) using only O(M + N) physical sensors or samples. In this paper, we propose coprime joint angle-Doppler estimation (coprime JADE), which incorporates both coprime arrays and coprime samplers with the STAP framework. Nonuniform time samples at different sensors can be used to generate a sampled autocorrelation matrix, from which we compute a spatial smoothed matrix. It will be proved that spatial smoothed matrices can be used in the MUSIC algorithm for parameter estimation. With sufficient snapshots, coprime JADE distinguishes O(M_1N_1M_2N_2) independent sources if it corresponds to coprime arrays and coprime samplers with coprime integers (M_1,N_1) and (M_2,N_2), respectively. It is verified through simulations that coprime JADE resolves the angle-Doppler information better compared to other conventional algorithms.

Additional Information

© 2015 IEEE. This work was supported in parts by the ONR grant N00014-11-1-0676, and the California Institute of Technology.

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August 20, 2023
August 20, 2023