本文選題：雷達目標檢測　切入點：自適應恒虛警處理器　出處：《雷達科學與技術》2017年05期 　論文類型：期刊論文

【摘要】：常規(guī)的單元平均恒虛警(CA-CFAR)和雙參量恒虛警(BP-CFAR)檢測方法在均勻雜波環(huán)境中通常能獲得較好的檢測性能,但在復雜的雜波背景下,例如當目標鄰近大目標時,嚴重的恒虛警損失會導致目標(特別是小目標)難以檢測。基于AIS信息協(xié)作感知的AW-CFAR處理方法利用AIS的大目標感知信息,通過設置寬度自適應控制的大目標屏蔽帶,有效排除大目標對雜波估計的影響。仿真實驗結果表明,相對于傳統(tǒng)的CA-CFAR和BP-CFAR,該方法對臨近大目標的小目標的檢測性能改善了8~20dB。
[Abstract]:Conventional CCA-CFAR and BP-CFAR detection methods can obtain better detection performance in uniform clutter environment, but in complex clutter background, for example, when the target is near a large target, the detection performance is better than that of the conventional CFAR detection method, but in complex clutter background, for example, when the target is near a large target, the detection performance is better than that of the conventional CFAR detection method. The severe CFAR loss will lead to the difficulty of detecting the target (especially the small target). The AW-CFAR processing method based on the cooperative perception of AIS information makes use of the large target perception information of AIS and sets the shielding band of the large target with adaptive width control. The simulation results show that compared with the traditional CA-CFAR and BP-CFAR, the detection performance of the proposed method for small targets near large targets is improved by 820 dB.
【作者單位】： 大連海事大學;
【基金】：國家自然科學基金(No.61231006,61501078) 中央高�；究蒲袠I(yè)務費專項基金(No.3132016208)
【分類號】：TN957.51

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本文編號：1587751