本文選題：雷達(dá)目標(biāo)檢測(cè)　切入點(diǎn)：自適應(yīng)恒虛警處理器　出處：《雷達(dá)科學(xué)與技術(shù)》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(cè)方法在均勻雜波環(huán)境中通常能獲得較好的檢測(cè)性能,但在復(fù)雜的雜波背景下,例如當(dāng)目標(biāo)鄰近大目標(biāo)時(shí),嚴(yán)重的恒虛警損失會(huì)導(dǎo)致目標(biāo)(特別是小目標(biāo))難以檢測(cè)�；贏IS信息協(xié)作感知的AW-CFAR處理方法利用AIS的大目標(biāo)感知信息,通過(guò)設(shè)置寬度自適應(yīng)控制的大目標(biāo)屏蔽帶,有效排除大目標(biāo)對(duì)雜波估計(jì)的影響。仿真實(shí)驗(yàn)結(jié)果表明,相對(duì)于傳統(tǒng)的CA-CFAR和BP-CFAR,該方法對(duì)臨近大目標(biāo)的小目標(biāo)的檢測(cè)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(xué);
【基金】：國(guó)家自然科學(xué)基金(No.61231006,61501078) 中央高�；究蒲袠I(yè)務(wù)費(fèi)專項(xiàng)基金(No.3132016208)
【分類號(hào)】：TN957.51

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