Title :
Sparse mutual coupling matrix and sensor gain/phase estimation for array auto-calibration
Author_Institution :
Raytheon Electron. Syst., El Segundo, CA, USA
Abstract :
This paper develops a method for estimating the sparse array mutual coupling matrix and sensor gains/phases using a signal source at unknown directions. The sparsity of the mutual coupling matrix results from the recognition that the mutual coupling between array elements is inversely related to their separation and may be negligible for elements separated by a few wavelengths. We remove the restriction that the signal test source directions must be known, as required in an earlier recent work by the author (see Jaffer, A.G., Proc. 35th Asilomar Conference on Signals, Systems and Computers, 2001). A fast converging iterative method is developed which estimates the directions and the sparse mutual coupling matrix and sensor gains/phases. Computer simulation results are presented to demonstrate the utility of the method.
Keywords :
antenna arrays; array signal processing; calibration; convergence of numerical methods; direction-of-arrival estimation; electromagnetic coupling; iterative methods; parameter estimation; phase estimation; sparse matrices; antenna array auto-calibration; fast converging method; iterative method; mutual coupling matrix; sensor gain estimation; sensor phase estimation; sparse matrix; Calibration; Computer simulation; Iterative methods; Mutual coupling; Phase estimation; Phased arrays; Sensor arrays; Sensor systems; Sparse matrices; Testing;
Conference_Titel :
Radar Conference, 2002. Proceedings of the IEEE
Print_ISBN :
0-7803-7357-X
DOI :
10.1109/NRC.2002.999734