直接數(shù)據(jù)域空時(shí)自適應(yīng)單脈沖方法
[Abstract]:Combined with airborne radar space-time adaptive processing (space-time adaptive processing,STAP) and monopulse technique, the space-time parameters of moving targets can be estimated. However, in the non-uniform environment, due to the limited number of beats in the same distribution, the clutter covariance matrix is difficult to estimate accurately, which often leads to a sharp decline or even failure of the performance of the STAP method, which can not effectively achieve target detection and parameter estimation. In this paper, a direct data domain space-time parameter estimation method for moving targets is proposed. In this method, the clutter interference covariance matrix is estimated from the detected unit data by using the amplitude and phase estimation spectrum (amplitude and phase estimation,APES. Then STAP technique is used to suppress clutter and interference, and the estimation of target angle and Doppler frequency is realized based on monopulse theory. The simulation results show that the new method has the ability of adaptive clutter suppression and better estimation performance than the traditional monopulse method, and it is more suitable for non-uniform environment because of no reference data.
【作者單位】: 中國民航大學(xué)智能信號(hào)與圖像處理天津市重點(diǎn)實(shí)驗(yàn)室;
【基金】:國家自然科學(xué)基金(61231017,U1333106) 中央高;究蒲袠I(yè)務(wù)費(fèi)(3122016D004)資助課題
【分類號(hào)】:TN959.73
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