多站無源雷達(dá)多起伏目標(biāo)檢測前跟蹤算法
doi: 10.11999/JEIT140466 cstr: 32379.14.JEIT140466
基金項(xiàng)目:
國家自然科學(xué)基金(61301281)資助課題
A Track-before-detect Algorithm for Tracking Multiple Fluctuating Targets Using Passive Multistatic Radar
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摘要: 針對多站無源雷達(dá)背景下多起伏目標(biāo)同時檢測和跟蹤的問題，該文提出一種基于多目標(biāo)多伯努利(MeMBer)濾波器的多起伏目標(biāo)檢測前跟蹤(TBD)算法。由于起伏目標(biāo)的平均信噪比(SNR)未知使得目標(biāo)的回波幅度似然函數(shù)不確定，該文假定包絡(luò)檢波器的輸出平均SNR服從先驗(yàn)的均勻分布，并對可能取值區(qū)間進(jìn)行邊緣化處理，得到一個估計的似然函數(shù)，基于該估計的似然函數(shù)，融合中心利用所有收發(fā)對的幅度觀測信息對MeMBer濾波器的各個預(yù)測分量進(jìn)行更新。仿真結(jié)果表明，該算法能夠有效地同時檢測和跟蹤多起伏目標(biāo)，并且在平均SNR大于9 dB時，其性能與平均SNR已知情況下的性能近似。
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關(guān)鍵詞:
- 多站無源雷達(dá) /
- 檢測前跟蹤 /
- 起伏目標(biāo) /
- 多目標(biāo)多伯努利濾波器
Abstract: A Track-Before-Detect (TBD) algorithm is presented to jointly detect and track multiple fluctuating targets under passive multistatic radar system based on Multi-target Multi-Bernoulli (MeMBer) filter. Because the amplitude likelihood is uncertain due to the unknown mean Signal-to-Noise Ratio (SNR) of fluctuating targets, firstly a uniform prior distribution is assumed for the mean SNR corresponding to the envelope output, and a likelihood function is marginalized over the range of possible values. Based on this approximated likelihood function, the fusion centre uses all the amplitude measurements from each receiver transmitter pair to update the predicted Bernoulli components. Simulations show that the proposed algorithm can jointly detect and track multiple fluctuating targets effectively, furthermore, the performance is similar to the situation of the known mean SNR when the value of the mean SNR is higher than 9 dB. -
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