一種基于跟蹤信息的多基雷達(dá)系統(tǒng)航跡起始算法
doi: 10.11999/JEIT150148
基金項目:
國家自然科學(xué)基金(61401329, 61271024, 60901065)
A Track Initiation Algorithm for Multisite Radar Systems Based on Tracking Information
Funds:
The National Natural Science Foundation of China (61401329, 61271024, 60901065)
-
摘要: 多基雷達(dá)系統(tǒng)(MSRS)可以大大提高目標(biāo)定位性能,然而由于各個雷達(dá)站信噪比的差異,通常存在一些雷達(dá)站尚未建立目標(biāo)航跡,從而不能最大程度地提高目標(biāo)定位精度。因此,如何利用其它雷達(dá)站提供的目標(biāo)跟蹤信息,提高尚未建立目標(biāo)航跡的雷達(dá)站的探測性能是一個值得研究的問題。為此,該文提出一種基于跟蹤信息的航跡起始算法。首先將已經(jīng)跟蹤到目標(biāo)的雷達(dá)站提供的目標(biāo)跟蹤信息,送至尚未建立目標(biāo)航跡的雷達(dá)站;然后利用目標(biāo)跟蹤信息和目標(biāo)運(yùn)動模型,建立目標(biāo)預(yù)測波門;最終在虛假航跡起始概率恒定的條件下,調(diào)整預(yù)測波門內(nèi)的檢測門限,完成目標(biāo)檢測和航跡起始過程。仿真實驗表明,該算法可以大大提高目標(biāo)檢測概率和目標(biāo)航跡起始概率。Abstract: MultiSite Radar Systems (MSRS) can significantly improve target localization performance. However, due to the difference of signal-to-noise ratios of separate radar sites, there usually exist some radar sites that have not initiated a target track, hence target localization accuracy can not be improved to the best. So an interesting problem is how to use target tracking information provided by other radar sites to improve the detection performance of the radar sites that have not initiated the target track. In this paper, a track initiation algorithm based on tracking information is proposed. Firstly, the target tracking information provided by the radar sites that have already tracked a target is transmitted to the radar sites that have not initiated the target track. Then, a predicted gate is established according to the tracking information and target dynamic model. Finally detection thresholds in the predicted gate are adjusted under a constant probability of false track initiation, and target detection and track initiation are accomplished. Numerical results indicate that the proposed algorithm can significantly improve the probability of target detection and target track initiation.
-
Key words:
- Radar /
- Track initiation /
- Tracking information /
- Predicted gate /
- Probability of false track initiation
-
Chernyak V S. Fundamentals of Multisite Radar Systems: Multistatic Radars and Multiradar Systems[M]. New York: Gorden and Breach Science Publisher, 1998: Chapter 1. Zhou Sheng-hua and Liu Hong-wei. Space-partition-based target detection for distributed MIMO radar[J]. IEEE Transactions on Aerospace and Electronic Systems, 2013, 49(4): 2717-2729. 劉欽, 劉崢, 謝榮. 防空雷達(dá)網(wǎng)對多隱身目標(biāo)的協(xié)同檢測與跟蹤[J]. 電子與信息學(xué)報, 2013, 35(3): 601-607. Liu Qin, Liu Zheng, and Xie Rong. Collaborative detection and tracking of stealthy target by netted radar[J]. Journal of Electronics Information Technology, 2013, 35(3): 601-607. 嚴(yán)俊坤, 戴奉周, 秦童, 等. 一種針對目標(biāo)三維跟蹤的多基地雷達(dá)系統(tǒng)功率分配算法[J]. 電子與信息學(xué)報, 2013, 35(4): 901-907. Yan Jun-kun, Dai Feng-zhou, Qin Tong, et al.. A power allocation approach for 3D target tracking in multistatic radar systems[J]. Journal of Electronics Information Technology, 2013, 35(4): 901-907. 何友, 修建娟, 關(guān)欣, 等. 雷達(dá)數(shù)據(jù)處理及應(yīng)用[M]. 第3版, 北京: 電子工業(yè)出版社, 2013: 第8章. He you, Xiu Jian-juan, Guan Xin, et al.. Radar Data Processing with Applications[M]. Third Edition, Beijing: Publishing House of Electronics Industry, 2013: Chapter 8. 湯琦, 黃建國, 楊旭東. 航跡起始算法及性能仿真[J]. 系統(tǒng)仿真學(xué)報, 2007, 19(1): 149-152. Tang Qi, Huang Jian-guo, and Yang Xu-dong. Algorithm of track initiation and performance evaluation[J]. Journal of System Simulation, 2007, 19(1): 149-152. 吳澤民, 張磊, 劉晗, 等. 基于隨機(jī) Hough 變換的三維集中式航跡起始算法[J]. 電子學(xué)報, 2013, 41(5): 840-847. Wu Ze-min, Zhang Lei, Liu Han, et al.. Centralized 3D track initialization using random Hough transformation[J]. Acta Electronica Sinica, 2013, 41(5): 840-847. 鹿傳國, 馮新喜, 孔云波, 等. 并行Hough變換航跡起始[J]. 雷達(dá)學(xué)報, 2013, 2(3): 292-299. Lu Chuan-guo, Feng Xin-xi, Kong Yun-bo, et al.. Track initiation based on parallel Hough transform[J]. Journal of Radars, 2013, 2(3): 292-299. Fortmann T, Bar-Shalom Y, Scheffe M, et al.. Detection thresholds of tracking in cluttera connection between estimation and signal processing[J]. IEEE Transactions on Automatic Control, 1985, 30(3): 221-229. Li X R and Bar-Shalom Y. Detection threshold selection for tracking performance optimization[J]. IEEE Transactions on Aerospace and Electronic Systems, 1994, 30(3): 742-749. Gelfand S B, Fortmann T E, and Bar-Shalom Y. Adaptive detection threshold optimization for tracking in clutter[J]. IEEE Transactions on Aerospace and Electronic Systems, 1996, 32(2): 514-523. Aslan M S, Saranl A, and Baykal B. Tracker-aware adaptive detection: an efficient closed-form solution for the Neyman-Pearson case[J]. Digital Signal Processing, 2010, 20(5): 1468-1481. Willett P, Niu R, and Bar-Shalom Y. Integration of Bayes detection with target tracking[J]. IEEE Transactions on Signal Processing, 2001, 49(1): 17-29. Tian Xin and Bar-Shalom Y. On algorithms for asynchronous track-to-track fusion[C]. 2010 13th Conference on Information Fusion, Edinburgh, England, 2010: 1-8. 董凱, 關(guān)欣, 王海鵬, 等. 基于序貫修正灰關(guān)聯(lián)度的全局最優(yōu)航跡關(guān)聯(lián)算法[J]. 電子與信息學(xué)報, 2014, 36(8): 1939-1945. Dong Kai, Guan Xin, Wang Hai-peng, et al.. Global optimal track association algorithm based on sequential modified grey association degree[J]. Journal of Electronics Information Technology, 2014, 36(8): 1939-1945. -
計量
- 文章訪問數(shù): 1451
- HTML全文瀏覽量: 217
- PDF下載量: 469
- 被引次數(shù): 0