文章摘要
张晓勇,罗来源.单静止站纯方位目标航向估计[J].声学技术,2012,(6):566~569
单静止站纯方位目标航向估计
Target course estimation for single stationary bearing-only observation system
投稿时间:2011-11-15  修订日期:2012-02-17
DOI:10.3969/j.issn1000-3630.2012.06.006
中文关键词: 纯方位  航向估计  最小二乘估计
英文关键词: bearing-only  course estimation  least square estimation
基金项目:
作者单位E-mail
张晓勇 西南电子电信技术研究所,成都 610041 tianzxy@126.com 
罗来源 西南电子电信技术研究所,成都 610041  
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中文摘要:
      单静止站纯方位被动声纳系统是不完全可观测系统,关于该类系统的既往研究表明,对于匀速直线运动的目标,利用目标方位角信息可以估计出目标的航向,这具有重要的实际应用意义.通过对目标运动几何模型分析,推导得到目标方位角与目标航向的关系公式,并提出依据几何关系的目标航向估计算法.通过进行坐标变换引入最小二乘估计思想,提高了估计方法的有效性.使用Monte-Carlo计算机仿真测试了算法在不同目标方位角和不同数据长度下的性能,并与拟线性递推法和递推最小二乘法进行了比较,结果表明该算法具有更高的估计精度和更好的适应性.
英文摘要:
      Single stationary bearing-only passive sonar system is an incompletely measurable system. Research on this kind of system has shown that, the target course could be estimated through the directions of Arrival (DOAs) when the target is moving with constant speed and direction. It’s a very useful result for target aiming analysis in practice. Started with geometric model, the relationship between target course and DOAs is deduced, and an estimation algorithm is proposed. Through coordinate transformation, the least square estimation (LSE) is used to make the algorithm more effective. Monte-Carlo simulations are carried out to test the performances of the proposed algorithm with different data lengths for different DOAs. For comparison, two other methods named Imitate Linear Recursive (ILR) algorithm and Recursive Least Square (RLS) algorithm are simulated too. Results show that the proposed method could achieve more accuracy and higher adaptability.
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