【摘要】：針對雷達(dá)測距模糊條件下臨近空間高超聲速弱目標(biāo)的檢測跟蹤問題,提出一種基于分時多重頻多假設(shè)的分級降維HT-TBD算法。首先,為重構(gòu)因距離模糊而丟失的目標(biāo)時空相關(guān)性,利用多種脈沖重復(fù)頻率分時交替工作并對各時刻的距離模糊量測在所有多假設(shè)區(qū)間進行距離延拓;然后,為了在保證檢測性能的同時減小計算量,將延拓后的三維點跡依次降維映射至徑向距離-時間、方位角-時間和仰角-時間平面進行三級二維Hough變換,并在每級采用非相參積累和二值積累相結(jié)合的雙重積累方式進行點跡篩選以在充分利用點跡能量信息的同時盡量減小強干擾的影響。仿真結(jié)果表明,該算法可在距離模糊條件下對臨近空間高超聲速弱目標(biāo)進行有效檢測跟蹤,并同時實現(xiàn)距離解模糊。
[Abstract]:Aiming at the problem of detection and tracking of hypersonic weak targets in adjacent space under the condition of fuzzy radar ranging, a hierarchical dimensionality reduction (HT-TBD) algorithm based on time-sharing multi-frequency and multi-hypothesis is proposed. Firstly, in order to reconstruct the temporal and spatial correlation of the target lost due to distance ambiguity, we use multiple pulse repetition frequency to work alternately and carry out the range extension of the distance ambiguity measurement at each time in all the multi-hypothesis regions. In order to ensure the detection performance and reduce the computational complexity, the extended 3D point trace is mapped to radial distance time, azimuth time and elevation angle time plane to carry out three dimensional Hough transform, and the extended 3D point trace is mapped to radial distance time, azimuth angle time and elevation angle time plane. In order to minimize the influence of strong interference, the point trace screening is carried out by combining the non-coherent accumulation and binary accumulation at each stage. The simulation results show that the algorithm can effectively detect and track hypersonic weak targets in the near space under the condition of distance fuzzy, and realize the distance deblurring at the same time.
【作者單位】： 海軍航空工程學(xué)院信息融合研究所;
【基金】：國家自然科學(xué)基金(61731023,61372027,61501489,61671462,61701519) “泰山學(xué)者”建設(shè)工程專項經(jīng)費資助項目
【分類號】：E926.4;TN957.51

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