An Improved Aerial Target Localization Method with a Single Vector Sensor

Abstract

This paper focuses on the problems encountered in the actual data processing with the use of the existing aerial target localization methods, analyzes the causes of the problems, and proposes an improved algorithm. Through the processing of the sea experiment data, it is found that the existing algorithms have higher requirements for the accuracy of the angle estimation. The improved algorithm reduces the requirements of the angle estimation accuracy and obtains the robust estimation results. The closest distance matching estimation algorithm and the horizontal distance estimation compensation algorithm are proposed. The smoothing effect of the data after being post-processed by using the forward and backward two-direction double-filtering method has been improved, thus the initial stage data can be filtered, so that the filtering results retain more useful information. In this paper, the aerial target height measurement methods are studied, the estimation results of the aerial target are given, so as to realize the three-dimensional localization of the aerial target and increase the understanding of the underwater platform to the aerial target, so that the underwater platform has better mobility and concealment.

A Three-Dimensional Target Depth-Resolution Method with a Single-Vector Sensor

“…The azimuth-estimation results are shown in Figure 11 . The detailed estimation method is shown in [ 40 ].…”

“…As can be seen from Table 15 , it is feasible to classify aerial targets into surface targets as described in Section 2.2.2 . Using the target height estimation method detailed in [ 40 ], if the receiving platform depth is known, we can get the distance between source and receiver; then the effective distinction between aerial targets and surface targets can be performed, so as to verify that with the use of the method proposed in this paper the aerial target depth resolution and the three-dimensional target depth resolution can be realized.…”

“…Therefore, in the target depth-resolution process, the aerial targets can be regarded as a special case of the surface targets. Then, through the specific height estimation of the aerial targets [ 40 ], we can distinguish the aerial targets and the surface targets, if the receiver depth is known. The basic idea of the aerial target height-estimation method described in [ 40 ] is to calculate the distance between the source and receiver.…”

“…Then, through the specific height estimation of the aerial targets [ 40 ], we can distinguish the aerial targets and the surface targets, if the receiver depth is known. The basic idea of the aerial target height-estimation method described in [ 40 ] is to calculate the distance between the source and receiver. Through the comparison of the calculated distance against the known receiver depth, the height estimation is realized.…”

“…Then, we use the weighted bar graph method to do a statistical analysis of the azimuth-estimation result at every frequency point, so as to get the probability distribution of the azimuth estimation at a certain time. The azimuth corresponding to the maximum value of the probability distribution is the desired target azimuth [ 40 ].…”