Clutter Subspace Based Contaminated Sample Detecting Method for Arbitrary Antenna Array

For the airborne radar, the statistic space-time adaptive processing method is always contaminated by the interference-targets (outliers) in heterogeneous environment. The non-homogeneity detector is a useful method for outlier detecting and eliminating. However, when the array is not the sidelooking uniform linear array, the traditional non-homogeneity detector has significant performance degradation because of the error estimation of the covariance matrix. This paper proposed a clutter subspace based contaminated sample detecting method for the arbitrary antenna. The signal model for the arbitrary antenna array is proposed first. Combined with the new signal model, a proposition has been introduced to construct the clutter subspace, and then the contaminated sample detecting method is proposed by another proposition and the clutter subspace. Numerical results illustrate the effectiveness and validity of the proposed method.

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