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机构地区:[1]合肥工业大学计算机与信息学院,安徽合肥230009 [2]中国电子科技集团公司第三十八研究所,安徽合肥230088
出 处:《合肥工业大学学报(自然科学版)》2015年第11期1493-1497,1552,共6页Journal of Hefei University of Technology:Natural Science
基 金:国家高技术研究发展计划(863计划)资助项目(2011AA7054019)
摘 要:在基于相位差变化率的单站无源定位中,相位差变化率的提取精度很大程度上会影响到目标定位的精度,而现有提取方法的提取精度较低。文章提出了一种时间片差分卡尔曼法。首先延长每次的观测时间,使得每次观测都可以得到多个相位差值,形成一个时间片。依次取相邻两时间片,通过计算可得每次观测的相位差变化率,再将提取结果进行卡尔曼滤波平滑,实现对相位差变化率的高精度提取。仿真实验结果验证了该方法的正确性及有效性。In single observer passive location based on phase difference changing rate, the accuracy of target localization can be largely affected by the extracting precision of phase difference changing rate. In order to improve the extracting precision which is low in most existing methods, a new method called time-chip difference Kalrnan(TCDK) is proposed in this paper. Firstly, the observation time is prolonged to acquire a series of phase differences in each observation and form a time-chip after. Then the phase difference changing rate of each observation can be obtained through the observation interval dividing average difference, which is gotten by calculating the difference values between two sequential time-chips. Afterwards, the results are smoothed by Kalman filter to achieve high extracting precision. Finally, the simulation results verify the correctness and validity of this method.
关 键 词:单站无源定位 相位差变化率 提取精度 时间片 卡尔曼滤波
分 类 号:TN971.1[电子电信—信号与信息处理]
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