A living body radar system , comprising: an image analysis unit for receiving a signal (S1) detected by a radar and signally processing the signal (S1) to produce a plurality of sample points to form an image signal (S2); a frequency spectrum analysis unit for receiving the signal (S1) and signally processing the signal (S1) to produce a frequency spectrum signal (S3); and a calculation unit electrically connected with the image analysis unit and the frequency spectrum analysis unit , the calculation unit comprising a feature extraction portion and a match identification portion , the feature extraction portion receiving the image signal (S2) and the frequency spectrum signal (S3) and carrying out a feature extraction operation to acquire a target feature (F1) of a target object, the match identification portion carrying out a comparison operation on the target feature (F1), wherein the match identification portion is electrically connected with a feature database ; the feature database stores a comparison feature (F2/F3) of a living body; when the match identification portion carries out the comparison operation on the target feature (F1), the match identification accesses the comparison feature (F2/F3) and compares the target feature (F1) with the comparison feature (F2/F3), wherein the comparison feature (F2/F3) is acquired by the feature extraction operation on an image sample signal (S4) and a frequency spectrum sample signal (S5) that are acquired by the radar detecting a living body, characterized in that the living body is a human body; when the comparison feature (F2/F3) is compared with the target feature (F1), the image signal (S2) is compared with a lower limbs motion of the human body in the image sample signal (S4), and the frequency spectrum signal (S3) is compared with the lower limbs motion and a body motion of the human body in the frequency spectrum sample signal (S5). an image analysis unit for receiving a signal (S1) detected by a radar and signally processing the signal (S1) to produce a plurality of sample points to form an image signal (S2); a frequency spectrum analysis unit for receiving the signal (S1) and signally processing the signal (S1) to produce a frequency spectrum signal (S3); and a calculation unit electrically connected with the image analysis unit and the frequency spectrum analysis unit , the calculation unit comprising a feature extraction portion and a match identification portion , the feature extraction portion receiving the image signal (S2) and the frequency spectrum signal (S3) and carrying out a feature extraction operation to acquire a target feature (F1) of a target object, the match identification portion carrying out a comparison operation on the target feature (F1), wherein the match identification portion is electrically connected with a feature database ; the feature database stores a comparison feature (F2/F3) of a living body; when the match identification portion carries out the comparison operation on the target feature (F1), the match identification accesses the comparison feature (F2/F3) and compares the target feature (F1) with the comparison feature (F2/F3), wherein the comparison feature (F2/F3) is acquired by the feature extraction operation on an image sample signal (S4) and a frequency spectrum sample signal (S5) that are acquired by the radar detecting a living body, characterized in that the living body is a human body; when the comparison feature (F2/F3) is compared with the target feature (F1), the image signal (S2) is compared with a lower limbs motion of the human body in the image sample signal (S4), and the frequency spectrum signal (S3) is compared with the lower limbs motion and a body motion of the human body in the frequency spectrum sample signal (S5). <EOS>