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In this paper, we will discuss clutter mitigation caused by wind-blown foliage and clutter mitigation with slow-moving targets. Traditional approaches, such a pulse canceler essentially is a low-pass filter is designed to remove slow moving clutter and is not effective in mitigating foliage clutter during windy conditions. In this paper, we introduce a method to pre-process radar returns with a wavelet transform. The wavelet transform produces subband channels that are progressively smaller which can reduce the order of operations. The subband channels will further be processed with coherent integration and coherent subtraction to mitigate strong clutter introduced by stationary objects that close to a target. We will also investigate the mitigation of clutter due to wind-blown foliage using subband channels to estimate covariance, and extract singular value decompositions. A detection of wind-blown clutter is kept track in temporal bookkeeping, called a clutter map. The entry in the clutter map is deleted when clutter is not present or the expiration of the entry is reached. |
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Radar
Target detection
Wavelets
Signal to noise ratio
Antennas
Filtering (signal processing)
Interference (communication)
