多雜波背景下用于低速弱目標(biāo)檢測的濾波器優(yōu)化設(shè)計
Novel Filter Design for Detecting Weak Targets of Slow Speed Out of Multi-mode Clutters
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摘要: 該文提出了一種用于多雜波背景下的低速弱目標(biāo)檢測的脈間參差濾波器優(yōu)化設(shè)計，該算法采用脈間滑動脈沖的方式進(jìn)行參差MTI濾波器設(shè)計，并利用與梯度結(jié)合的遺傳算法搜索最優(yōu)的脈沖重復(fù)周期排布組合，使濾波器第一零點(diǎn)盡可能淺，可在有效抑制雜波和同頻干擾的同時避免陷入其中的弱目標(biāo)丟失，同時該濾波器可形成多個凹口以濾去多種雜波，并將盲速推到三倍音速以外。采用梯度遺傳算法對脈沖重復(fù)周期進(jìn)行搜索，由于該算法所需初始種群規(guī)模小，與標(biāo)準(zhǔn)遺傳算法相比復(fù)雜度大大降低。仿真結(jié)果和性能分析驗(yàn)證了算法的可行性和有效性。
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關(guān)鍵詞:
- 梯度遺傳算法;參差MTI;參差碼;第一零點(diǎn)
Abstract: The paper presents a novel stagger MTI filter design algorithm, which can detect weak targets of slow speed out of multi-mode clutters. The method is carried out by slipping pulses, and the best pulse repetitive frequencies selected by gradient-GA make the first notch as shallow as possible, so the weak targets in the first notch can be detected. Multi-model clutters can be suppressed by MTI filter, and blind-velocity can be appeared out of three times velocity of sound. Combined GAs the capability of the whole searching and not limited by selection of initial parameter with the gradient GAs advantage of fast searching, it can offer fewer initial population and low computation complexity. The simulation and performance analysis demonstrate the feasibility and validity of the algorithm. -
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