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The imaging problem of low signal to noise ratio (SNR) echo is very important for ultra-wide band (UWB) through-wall radar.An improved multi-channel blind image restoration algorithm based on sub-space and constrained least square (CLS) is presented and applied to UWB radar system to deal with this issue.The high resolution of radar image is equivalent to multi-channel blind image restoration based on the improved model of the through-wall radar echo.And a new cost function is proposed to the multi-channel blind image restoration by considering the concept of sub-space as the limitation of blur identification.The proposed algorithm has all advantages of CLS and sub-space,and converts the image estimation to alternating-minimizing the two cost functions.Experimental results prove that the proposed algorithm is effective at improving the resolution of radar image even at low SNR.