| 1. | Jpda implements the ability to substitute modified code in a running application
Jpda实现了在运行中的应用程序中用经过修改的代码进行替换的能力。 |
| 2. | Additionally , the theory analyses show that the precision of the new algorithm is superior to that of jpda , and the algorithm has much smaller computation burden than jpda
理论分析表明，与jpda算法相比，新算法不仅计算量大大减小，而且性能优于jpda 。 |
| 3. | 2 . present a new fast algorithm named joint maximum probabilistic data association ( jmpda ) which can be applied to the hfgwsr by detailed analysis of jpda algorithm
二、通过对jpda算法的分解分析,提出适用于本项目实际应用的快速算法? ?联合最大概率数据关联( jmpda ) 。 |
| 4. | The following is the primary coverage of this paper . 1 . introduce background knowledge of the data association and estimation fusion , including detailed analysis of the msjpda algorithm
论文大致包括以下几个方面:一、介绍数据关联与估计融合的理论背景,并对当前流行的jpda关联算法进行重点分析。 |
| 5. | The main contributions are as follows : ( 1 ) in joint probability data association ( jpda ) algorithm , each return can belong to only one target , and each target can own only one return
长期以来，在联合概率数据关联( jpda )算法中，一直遵循一条可行性规则：一个回波(量测)只能来源于一个目标，一个目标也只能有一个回波。 |
| 6. | Simulation and practical data test show that better performance can be obtained by this preprocessing . in chapter 3 nearest neighbor data association ( nnda ) algorithm and joint probability data association ( jpda ) algorithm are firstly studied
仿真实验和对实测数据的处理表明,经过观测预处理后的观测数据进行单传感器滤波将具有更好的估计效果。 |
| 7. | On the basis of collecting a lot of data of home and abroad , the paper finishes as follows : 1 analyzing the merits and shortcomings of every algorithm ; 2 summarizing every kind of algorithm , and then concluding a model that is suitable for the current engineering application
对目标跟踪问题进行了深入、系统的研究，重点是关注数据关联部分，以易于理解的方式给出pda以及jpda算法清晰的数学描述，并对算法进行了仿真。 |
| 8. | This paper presents a comprehensible mathematics description of the joint probabilistic data association ( jpda ) algorithm . in order to reduce the time ? pace complexity of the jpda algorithm , the method of dividing validation matrix based on the . back track ? pruning technique is proposed in this paper
本文以易于理解的方式给出联合概率数据关联（ jpda ）算法一个清晰的数学描述，并提出基于回溯剪枝技术拆分有效矩阵，以降低jpda计算的时空复杂度。 |
| 9. | Jmpda skillfully avoids calculating of the association probabilistic which has high complexity and costs too much time . in order to use the four channels of hfgwsr , jmpda is combined to parallel filter , thus we obtain the whole algorithm ? ? multi sensor joint maximum probabilistic data association based on parallel filter ( msjmpdapf ) 。 3
该算法巧妙的回避了jpda算法中复杂度很高耗时严重的关联概率kj , t的计算,并将改进之后的jmpda算法应用于多传感器系统得到msjmpda算法。 |
