| 引用本文: | 张维,尚玲.单矢量水听器水中多目标方位跟踪方法.[J].国防科技大学学报,2017,39(2):114-119.[点击复制] |
| ZHANG Wei,SHANG Ling.Method of direction of arrival tracking for multiple targets under water with single vector hydrophone[J].Journal of National University of Defense Technology,2017,39(2):114-119[点击复制] |
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| 单矢量水听器水中多目标方位跟踪方法 |
| 张维, 尚玲 |
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(中国船舶重工集团公司第七一〇研究所， 湖北 宜昌 443003)
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| 摘要: |
| 采用量子粒子群求解声压和质点振速组成的非线性相关方程组，实现多目标声源方位的估计。为提高精度，应用最小二乘法对测量结果进行拟合并建立预测模型，通过卡尔曼滤波对方位轨迹进行优化。结果表明：单矢量水听器能够同时分辨多个目标方位，解算结果应使用统计特性表示；采用本方法最多能分辨7个目标，目标个数越多，方位误差越大；信噪比越高，分辨率和精度越高，偏差越小；通过数据拟合然后卡尔曼滤波的方法能够有效提高目标方位跟踪精度。 |
| 关键词: 多目标方位 单矢量水听器 卡尔曼滤波 最小二乘法 量子粒子群 |
| DOI：10.11887/j.cn.201702017 |
| 投稿日期：2015-09-08 |
| 基金项目:国家部委基金资助项目(9140A05020514CB40014) |
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| Method of direction of arrival tracking for multiple targets under water with single vector hydrophone |
| ZHANG Wei, SHANG Ling |
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(Yichang Research Institute of Testing Technology, Yichang 443003, China)
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| Abstract: |
| The direction of arrival (DOA) of multiple targets was acquired by solving non-liner correlation equations involving acoustic pressure and particle velocity with quantum particle swarm algorithm. In order to improve the precision, the DOA tracks of multiple targets were fitted with the method of least squares, the prediction model was found and then the DOA tracks were optimized by Kalman filter. The results indicate that the DOA of multiple targets can be resolved with the single vector hydrophone and the results should be expressed by statistic characteristics. The maximum number of unknown sources is 7. As the number increases, the DOA error is more serious. When the signal to noise ratio is higher, the resolution ratio and precision are also higher and the deviation is smaller. More importantly, the precision of DOA can be improved effectively by the method of data fitting and the Kalman filter. |
| Keywords: direction of arrival of multiple targets single vector hydrophone Kalman filter method of least squares quantum particle swarm |
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