【摘要】：針對跳頻組網(wǎng)通信中不同信號間的時頻分隔特點,利用時頻重心進行目標方位數(shù)據(jù)關聯(lián),提出了空時頻方位關聯(lián)算法。根據(jù)提取的時頻特征設計空時頻測向的核函數(shù),實現(xiàn)了簡化的空時頻測向算法。根據(jù)時頻距離設計代價函數(shù),基于匈牙利算法實現(xiàn)了方位關聯(lián)結果的最優(yōu)化二維分配。根據(jù)時頻距離選擇窗函數(shù)的類型和長度,有效避免了信號旁瓣泄露對測向精度的影響,顯著提高了密集目標條件下的關聯(lián)正確概率。數(shù)值仿真驗證了上述觀點。
[Abstract]:According to the characteristics of time-frequency separation between different signals in FH network, a space-time-frequency azimuth correlation algorithm is proposed by using time-frequency center of gravity to correlate the target azimuth data. The kernel function of space-time-frequency direction finding is designed according to the extracted time-frequency features, and a simplified space-time-frequency direction finding algorithm is implemented. Based on the cost function of time-frequency distance design, the optimal two-dimensional allocation of azimuth correlation results is realized based on Hungarian algorithm. By selecting the type and length of window function according to time-frequency distance, the influence of sidelobe leakage on direction finding accuracy is effectively avoided, and the correct probability of correlation under dense target condition is improved significantly. The numerical simulation verifies the above viewpoint.
【作者單位】： 國防科技大學電子科學與工程學院;
【基金】：國防重點實驗室基金資助項目(9140C0202011003)
【分類號】：TN914.41

【參考文獻】

相關期刊論文 前4條

1 劉梅;權太范;姚天賓;李海昊;;多傳感器多目標無源定位跟蹤算法研究[J];電子學報;2006年06期

2 賈興江;周一宇;郭福成;;多運動站測角頻差無源定位方法研究[J];國防科技大學學報;2011年01期

3 章飛;周杏鵬;陳小惠;;基于幅值信息的聯(lián)合概率數(shù)據(jù)關聯(lián)粒子濾波算法[J];系統(tǒng)工程與電子技術;2011年02期

4 羅爭;張e，

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