基于小波變換的快速多目標多幀多空間數據關聯
Fast Multi-Scan Multi-Space Data Association for Multiple Targets Using Wavelet Transform
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摘要: 該文提出一種基于小波變換的快速多目標多幀多空間數據關聯算法。小波變換的引入把數據關聯推廣到多幀情況。該算法具有不依賴先驗知識的特點，在復雜雜波環(huán)境下表現出較好的關聯效果。算法的關聯性能在多被動傳感器多目標跟蹤系統(tǒng)中進行了評估。仿真實驗表明新算法在復雜雜波環(huán)境下表現出比聯合概率數據關聯等算法小的計算復雜度和好的關聯效果。Abstract: A fast Multi-Scan Multi-Space Data Association (MSMSDA) algorithm for multiple targets is presented based on wavelet transform in this paper. With the introduction of wavelet transform, the data association is extended to multiple scan. The MSMSDA need not any prior knowledge and plays good performance in the complex clutter environment. The performance of the MSMSDA is evaluated in the multiple passive sensor multiple target tracking system in this paper. Simulations show that the proposed new algorithm has lower computational complexity and better performance of data association than the joint probabilistic data association (JPDA), etc., under complex clutter environment.
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