One-Bit DOA Estimation Using Cross-Dipole Array

In this paper, we devise an effective algorithm for direction-of-arrival (DOA) estimation using the cross-dipole array via one-bit quantization. Firstly, we theoretically prove that after one-bit quantization, two circular complex Gaussian random processes with different variance still satisfy the arcsine law and calculate the normalized covariance matrix of the cross-dipole array output based on this property. Subsequently, we reconstruct the noise-free normalized covariance matrix by subtracting the normalized noise matrix. Finally, we apply the TLS-ESPRIT algorithm to the reconstructed noise-free normalized covariance matrix to extract the DOAs of sources. Numerical results demonstrate the validity of the proposed algorithm.