With its simple fabrication, low economic cost, good interference effect, large interference range, etc., the corner reflector is now being widely used in anti-missile, anti-detection and other fields. This paper presents a broadband millimeter-wave radar system to cope with the interference. This system uses the technology of DBS imaging and image processing to combat the dilute interference as well as uses successively statistical tracking algorithm and Doppler domain tracking algorithm to combat the centroid interference. Firstly, the system images in the targets area and processes the DBS image using fast two-dimensional OSCA-CFAR algorithm, and then completes the clustering process to get the dispersion, length, amplitude, Doppler broadening and other information of each target in the image. Finally, the system can identify the corner reflectors and the other targets. The successively statistical tracking algorithm first counts the number of the range units that outstrip the amplitude limit near the strongest point of the echo. If the number is more than a certain percentage, this strong point will be regarded as the target point, otherwise the secondary point will be regarded as the strongest point, followed by analogy. The Doppler domain tracking algorithm is based on the different Doppler bandwidth and Doppler center which are caused by the different position and angle between the goals and the corner reflector. The corner reflectors are completely suppressed by the goals in some Doppler units, thus this algorithm can combat the centroid interference. So the radar system proposed by this paper can confront the corner reflector interference and this system has a very broad application prospect in the field of guidance and detection.
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