AIS多小區(qū)同頻信號(hào)實(shí)時(shí)盲分離的FPGA設(shè)計(jì)
發(fā)布時(shí)間：2019-06-26 14:25
【摘要】：針對船舶自動(dòng)識(shí)別系統(tǒng)(Automatic Identification System,AIS)中相鄰多個(gè)小區(qū)的同頻信號(hào)相互干擾、無法解調(diào)的問題,該文采用多天線接收混合信號(hào),通過在FPGA上設(shè)計(jì)獨(dú)立成分分析(Independent Component Analysis,ICA)算法來對混合信號(hào)進(jìn)行實(shí)時(shí)盲分離.為滿足實(shí)時(shí)性,文中用符號(hào)函數(shù)代替雙曲正切函數(shù)對樣點(diǎn)數(shù)據(jù)作非線性映射,簡化迭代運(yùn)算;并將樣點(diǎn)數(shù)據(jù)分塊存儲(chǔ),用于并行計(jì)算.同時(shí)實(shí)現(xiàn)了高精度特征分解(Eigen Value Decomposition,EVD),用于對混合數(shù)據(jù)進(jìn)行白化.最后將設(shè)計(jì)的FPGA系統(tǒng)在Xilinx Isim中仿真,結(jié)果表明,主頻20MHz時(shí),系統(tǒng)在850μs內(nèi)完成了從4路512點(diǎn)AIS混合信號(hào)中分離出了三路源信號(hào).本文的設(shè)計(jì)也可應(yīng)用于雷達(dá)、聲納等可能存在同頻干擾的實(shí)時(shí)信號(hào)處理系統(tǒng).
[Abstract]:In order to solve the problem that the same frequency signals of adjacent cells in ship automatic recognition system (Automatic Identification System,AIS) interfere with each other and can not be Demodulated, this paper adopts multi-antenna to receive mixed signals, and designs an independent component analysis (Independent Component Analysis,ICA algorithm on FPGA to carry out real-time blind separation of mixed signals. In order to meet the real-time performance, the symbolic function is used instead of the hyperbolic tangent function to make nonlinear mapping of the sample point data to simplify the iterative operation, and the sample point data are stored in blocks for parallel computing. At the same time, the high precision feature decomposition (Eigen Value Decomposition,EVD is realized, which is used to whiten the mixed data. Finally, the designed FPGA system is simulated in Xilinx Isim. The results show that the system separates three source signals from 4 512point AIS mixed signals in 850 渭 s when the main frequency 20MHz is used. The design of this paper can also be applied to real-time signal processing systems with radar, Sonar and other possible co-frequency interference.
【作者單位】： 南開大學(xué)電子信息與光學(xué)工程學(xué)院;天津市光電傳感器與傳感網(wǎng)絡(luò)技術(shù)重點(diǎn)實(shí)驗(yàn)室;
【基金】：國家自然科學(xué)基金(No.61571244,No.61501262) 天津市科技計(jì)劃項(xiàng)目(No.16YFZCSF00540)
【分類號(hào)】：TN791;U675.7
本文編號(hào)：2506255
[Abstract]:In order to solve the problem that the same frequency signals of adjacent cells in ship automatic recognition system (Automatic Identification System,AIS) interfere with each other and can not be Demodulated, this paper adopts multi-antenna to receive mixed signals, and designs an independent component analysis (Independent Component Analysis,ICA algorithm on FPGA to carry out real-time blind separation of mixed signals. In order to meet the real-time performance, the symbolic function is used instead of the hyperbolic tangent function to make nonlinear mapping of the sample point data to simplify the iterative operation, and the sample point data are stored in blocks for parallel computing. At the same time, the high precision feature decomposition (Eigen Value Decomposition,EVD is realized, which is used to whiten the mixed data. Finally, the designed FPGA system is simulated in Xilinx Isim. The results show that the system separates three source signals from 4 512point AIS mixed signals in 850 渭 s when the main frequency 20MHz is used. The design of this paper can also be applied to real-time signal processing systems with radar, Sonar and other possible co-frequency interference.
【作者單位】： 南開大學(xué)電子信息與光學(xué)工程學(xué)院;天津市光電傳感器與傳感網(wǎng)絡(luò)技術(shù)重點(diǎn)實(shí)驗(yàn)室;
【基金】：國家自然科學(xué)基金(No.61571244,No.61501262) 天津市科技計(jì)劃項(xiàng)目(No.16YFZCSF00540)
【分類號(hào)】：TN791;U675.7
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相關(guān)碩士學(xué)位論文 前1條
1 李雯雯;混響背景下盲分離方法的研究[D];哈爾濱工程大學(xué);2013年
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