A random phase compensation method for terahertz radar

The random phase errors existing in the terahertz (THz) radar system, usually lead to the range profile broadened and defocused, which should be compensated. In this paper, a compensation method based on Bayesian compressive sensing (BCS) is proposed. Firstly, the reconstruction model containing the random phase errors is established. Subsequently, the phase errors is obtained using the maximum likelihood estimation, and then, the radar echo is compensated with the phase errors in time domain to focus the range profile. Experimental results based on simulation data demonstrated that the proposed method can produce a relatively well-focused range profile of target in terms of various signal to noise ratio (SNR) levels. Moreover, the comparison results indicate that the iteration number increased with the descending of SNR.