Compressive-Sensing-Based Antenna Array Calibration With Manifold Separation Technique

Abstract

Array calibration is the guarantee of various array signal processing algorithms. The conventional calibration methods need a large amount of sampling points and calculations. In this paper, we propose an efficient method based on the manifold separation technique (MST) and compressive sensing (CS) to simplify the calibration process. We use the MST to convert the manifold matrix into the product of the sampling matrix and the 2D discrete Fourier transform base. Then by using the CS, we can reduce the required numbe of the measurement points. The simulation results demonstrate that the proposed method achieves the purpose of calibration with less random measurement data.