Using IQ Signals to Mitigate Ground Clutter in Signal Processors
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Abstract:
Detection and processing of ground clutter have an important influence on the quality of radar data. The early detection of ground clutter depends on clutter maps under the clear air condition or artificial discrimination. With the improvement of processing capacity, the frequency domain filter in the whole process is adapted for adaptive filtering, especially after the realization of the GAMP filter. However, in actual operation, it is found that the algorithm weakens high elevation weather signals with velocity being zero. The scheme of realtime identification of ground clutter and dealing it with a filter becomes a trend. It can restrain ground clutter while reducing the loss of weather signals. The described algorithm is based on IQ data. Four parameters obtained from the SCI algorithm, which has been tested on Cband weather radar, are employed as the inputs of fuzzy logic theory. After redesigned the algorithm flaw, the SCI algorithm is introduced into Sband weather radar. Through example analysis and comparison with the CMD algorithm, it is found that the SCI algorithm has lower misjudgment rate than the CMD algorithm, and the recognition rate is nearly the same as that of CMD algorithm.
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Supported by:Beijing E-Tiller Technology Development Co., Ltd.
Supported by:Beijing E-Tiller Technology Development Co., Ltd.