Phased array radar has high-speed and flexible beam scheduling capabilities,and the widespread use of high repetition frequency design in signals results in a large number of uneven time difference blurring points in passive time difference estimation,which makes it difficult for ac-curate location.To solve time difference ambiguity,a time difference resolution ambiguity algorithm for repetitive grouped radar signals based on cluster grouping is proposed,which uses Kalman filter combined with probability correlation to make full use of the characteristics of repetitive frequency group variation of phased array radar signals at the time difference level,and combines multi-dimen-sional information such as Doppler frequency and multi-week information.Accordingly,the correc-tion of single time difference ambiguity can be done sequentially based on the two-station observation scene,thus obtaining the true time difference track of the target.The feasibility of the proposed method is verified by simulation.
repeat frequency grouped radartime difference positioningHough transformationKalman filterGaussian probability
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