摘要： 针对超视距雷达的海面目标检测问题，提出一种基于自适应预白化处理的检测前跟踪(TBD)算法。在目标TBD处理之前，利用海杂波的自回归模型构建白化滤波器进行杂波预白化，在跟踪阶段采用递归贝叶斯算法估计目标运动状态，在检测阶段通过跟踪滤波器的输出构造广义似然比进行似然比检测。不同信噪比下的仿真结果表明，该算法能有效抑制海杂波，检测到低信噪比的目标。
关键词:
超视距雷达,
海杂波,
自回归模型,
预白化,
检测前跟踪,
广义似然比检验
Abstract: According to the surface ship detection for Over-the-horizon Radar(OTHR), a Track-before-detect(TBD) algorithm based on adaptive pre-whitening processing is proposed in this paper. The sea clutter is assumed as an Autoregressive(AR) process and the estimated AR model parameters are used to construct the whitener for filtering the sea clutter. The recursive Bayesian estimation is used to estimate the state of the target in track stage. The output values of the tracking filter are used to approximately construct the generalized likelihood ratio for hypothesis test in detection stage. Simulation results with different Signal-to-noise Ratio(SNR) show that the clutter can be effectively suppressed and a target with a low SNR can be detected.
Key words:
Over-the-horizon Radar(OTHR),
sea clutter,
Autoregressive(AR) model,
pre-whitening,
Track-before-detect(TBD),
Ge- neralized Likelihood Ratio Test(GLRT)
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