高斯非平稳机动目标波达角模型及跟踪

doi:10.7527/S1000-6893.2015.0019

Abstract

Abstract:

In practical applications, due to the variation of environment, radar cross section and other variable factors, the echo power changes over time, which is inconsistent with the stationary assumption of Gaussian signals in the general array signal processing. To address the tracking problem of Gaussian non-stationary maneuvering targets with complex movements, a new direction-of-arrival (DOA) model is proposed. This model captures the dynamic state of Gaussian non-stationary maneuvering targets completely, considering the DOA and signal power as a joint state vector. Meanwhile, this model utilizes virtual array representing method and constructs the observation equation accordingly. Finally, the unscented Kalman filter (UKF) algorithm is used to complete the whole tracking process. Both analyses and simulation results show that the new method is still able to achieve good tracking performance when the Gaussian non-stationary maneuvering targets are close to each other for a long time.

Key words: array signal processing, direction of arrival, multi-target tracking, Gaussian non-stationary signal, virtual array, unscented Kalman filter

CLC Number:

YU Xiang, ZHANG Jianqiu. DOA model and tracking for Gaussian non-stationary maneuvering targets[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2015, 36(10): 3430-3438.

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DOA model and tracking for Gaussian non-stationary maneuvering targets

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