Passive radar sparse imaging with transmitter and receiver position errors

Passive radar sparse imaging requires accurate known system observation matrix, but in practical applications there usually exists transmitter and receiver position errors, which would make radar observation matrix partially unknown, resulting in mismatch between echo measurements and observation matrix, thus seriously degrade the performances of traditional sparse imaging algorithms. Here, the passive radar imaging model under position errors of transceivers is established first. Then, an adaptive phase error correction imaging method based on Bayesian compressed sensing is presented, which can deal with transceivers position errors while reconstructing target image simultaneously. Simulation results verify the effectiveness of authors’ method.