Multichannel system identification methods for sensor array calibration in uncertain multipath environments

This paper concerns the problem of estimating the array element relative gain and phase responses using sources of opportunity in an uncertain multipath environment. Unlike previous methods, which assume uncorrelated source wavefronts, we propose performing calibration in a correlated multipath environment. We present two algorithms that apply traditional blind, single-input multiple-output (SIMO) methods to the array calibration problem. Calibration is performed by discriminating the received components which remain the same for all sources and are thus due to the receiver gains and phases. Simulation results demonstrate the effectiveness of both techniques in terms of reduced sidelobe levels.