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本文根据随机逼近原理提出了一种自适应卡尔曼滤波器,适用于被动声纳对水下噪声源的跟踪。计算机模拟及对被动声纳海上实测数据的处理结果表明,本滤波器具有良好的性能,对目标机动及非平稳观测嗓声均有良好的自适应性。
In this paper, an adaptive Kalman filter is proposed based on the principle of random approximation. It is suitable for passive sonar tracking of underwater noise sources. Computer simulation and data processing of passive sonar sea data show that this filter has good performance and good adaptability to the target maneuvering and non-stationary observing voice.