Sensor Array Self-Calibration Based on GNSS Signal

This paper presents an array self-calibration technique in the presence of unknown array parameters consisting of the mutual coupling, sensor gains and phases for the uniform linear array (ULA) based on GNSS signals. In GNSS signals, the direction of arrival (DOA) can be derived from the GNSS ephemeris data. After the decorrelating with the locally generated PN codes by received signals, we use the residual Doppler frequency to construct the desired signals which would be dominant in the decorrelated signal. So the rank of the signal subspace is known. The noise subspace is obtained by the low complexity subspace tracking method. Then the unknown array parameters can be estimated in an iterative manner. The method can avoid the ambiguity because DOAs are known. And it provides estimate of these parameters in the receiving array without eigenvalue decomposition. Simulation results confirm the effectiveness of the proposed method.