Abstract
The localization and tracking technology for a three-dimensional target, which is a kernel problem in the military area, has received more and more attention. This paper proposes a closed-loop system to detect 3D maneuvering targets, including data acquisition, the direction of arrival (DOA) estimation, the triangle localization, and a trajectory prediction. This system firstly uses several L-shaped sensor arrays to sample the signals of maneuvering targets. Then the 2D ESPRIT algorithm and a maximum likelihood algorithm are introduced to achieve the positions of the spatial targets. Thirdly an autoregressive (AR) particle filter (PF) algorithm is realized to predict the locations in the next moment. Finally the localization process is directed by using the predicted positions to form a positive feedback closed loop. Experiment results show that this system can enhance the robustness and accuracy of the localization and tracking for three-dimensional maneuvering targets.
Highlights
Localization and tracking play a critical role in military applications and such as radar warning, battle eld monitoring. e kernel problem of each application is the ability of accurate localization. e most popular location tool is the Global Positioning System (GPS) [1]
Sometimes the location accuracy of the GPS is less than 0.1 m, but this sensor is usually used for self-localization. e multimedia sensor is another big type of location tools, such as CCD sensor [2, 3], stereo camera [4], and infrared sensor
E reasons why the sensor array [8, 9, 10, 11, 12] is chosen in this paper to localize targets are as follows: sensor array is able to localize multiple targets simultaneously; sensor array can certainly eliminate the same noise and interference which can increase the signal noise ratio of the received data; and the localization and tracking system using sensor array is little impacted by the environment which can increase the accuracy reliability and robustness
Summary
Localization and tracking play a critical role in military applications and such as radar warning, battle eld monitoring. e kernel problem of each application is the ability of accurate localization. e most popular location tool is the Global Positioning System (GPS) [1]. Tidd used an 8-element uniform circular sensor array to precisely localize the far- eld target by multiple signals classi cation algorithm [9]. F 1: A uniform L-shaped sensor array receiving far eld narrowband signal. E predicted position was used to estimate the accuracy of the localization by the microphone array and replaced the inaccurate localization, sometimes as the true localization value when targets could not be detected. Is paper proposes a closed-loop localization and tracking system for three-dimensional targets. En the positions of the targets are calculated by a novel maximum likelihood (ML) algorithm according to the estimated DOA and the location of L-shaped sensor arrays. Is system combines the localization and tracking algorithm together to form a positive feedback closed loop.
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