| 1. | Single observer passive location and achievement with photoelectric methods
单站被动定位及光电实现 |
| 2. | A single warship passive location algorithm based on modified speed
基于航速修正处理的单舰被动定位算法 |
| 3. | Passive positioning algorithm based on beidou double - star positioning system
基于北斗双星的被动定位算法研究 |
| 4. | So it is a trend to explore new passive locating methods with high precision and speed
因此探索高精度、高速度的定位方法就成为单站无源被动定位技术研究的必然趋势。 |
| 5. | The present situation of passive location systems based on broadcasting and tv signals is briefly introduced
摘要介绍了基于民用广播、电视信号的被动定位系统的发展现状。 |
| 6. | In this sense , the method with phase difference rate of change has broad developing prospects
就这一趋势而言，相位差变化率方法是一种发展前途较好的单站无源被动定位方法。 |
| 7. | This thesis focuses on the bearing - only target positioning and bearing - only target tracking problems . the main works are as follows : the problem of bearing - only target positioning is first outlined
本文从被动定向跟踪和被动定位跟踪两个方面进行研究，主要工作成果如下： 1 |
| 8. | This dissertation studies mainly the inversion of ocean environmental parameters by mfp ( matched field processing ) . meanwhile , adaptive matched field passive localization in complex environment and discrete noise rejection with mfp are discussed
论文从浅海环境参数反演、复杂水声条件下的被动定位、以及匹配场用于空域离散噪声干扰抵消等三方面展开，对匹配场的理论、方法及实验验证进行了深入地探讨。 |
| 9. | According to the different ocean environment , range dependent and range independent inversion are studied and the inversion results are analyzed . ( 4 ) in order to reduce the snapshots needed by passive localization in complex ocean environment , reduced rank amfp frame is founded and many algorithms are compared . in mismatch environment , two robust amfp algorithms are compared
为了降低被动定位对快拍数的要求，建立了降阶自适应匹配场处理的通用结构，比较分析了多种降阶算法；对环境参数失配条件下的两种稳健amfp算法进行了性能对比；采用运动补偿的方法提高被动定位的精度；并采用实测数据对各种方法进行了评估。 |
| 10. | The nonlinear problem is inevitable in bearing - only target tracking problem . here the monte carlo based nonlinear filters are compared with the classical extended kalman filter ( ekf ) in this field : the unscented kalman filter ( ukf ) , the particle filter ( pf ) and the unscented particle filter ( upf ) . furthermore , a multi - sensor passive tracking algorithm , through combining the ukf and probability data association ( pda ) , is provided for bearing - only target tracking in dense clutters
本文将典型的montecarlo非线性滤波器? unscentedkalmanfilter ( ukf ) 、 particlefilter ( pf )和unscentedparticlefilter ( upf )应用于被动定位跟踪，并在二维空间目标跟踪仿真中与经典的扩展卡尔曼滤波算法( ekf )进行了对比；本文将ukf算法与概率数据关联算法( pda )相结合，给出了适用于杂波环境下多站被动式跟踪的ukfpda算法。 |
