Joint Angle-Doppler Estimation With Coprime Sampling On A Uniform Circular Array

This paper is addressed on the joint angle-doppler estimation (JADE) for the uniform circular array (UCA) with coprime sampling. Space-time adaptive processing (STAP) can conveniently estimate direction-of-arrival (DOA) and radial velocities of emitting sources. And UCA can realize the azimuth angle of the 360 degrees detection without angle ambiguity. In this paper, we extend the coprime sampling for the linear array to UCA by utilizing the real beamspace transformation, we map the UCA manifold vector onto a virtual ULA manifold. And nonuniform time samples at different sensor of the virtual ULA can be employd to generate a full rank autocorrelation matrix by spatial smoothing. Then, we can use MUSIC algorithm to estimate the angle and doppler frequency jointly by applying UCA, coprime samples with STAP framework. Simulations show that making use of UCA also achieve good performance compared to coprime linear array.