根据自适应内核宽度混合物在冲动噪声下的电流变量,根据自适应式无效阵列的到达方向估计
Si-Yuan Sun1,2,3, Liang Zhang1,2,3, Ze-Hua Dai4
1National Key Laboratory of Underwater Acoustic Technology, Harbin Engineering University, Harbin 150001, China.
本研究引入了一种适应算法,用于在杂的水下环境中准确地估计到达方向 (DOA). 该方法在有限的数据下提高了性能,提高了水下检测能力.
科学领域:
- 水下声学 水下声学
- 信号处理 信号处理
- 阵列信号处理系统的信号处理.
背景情况:
- 在水下环境中的冲动噪声挑战了准确的到达方向 (DOA) 估计.
- 噪音来源包括破冰,海洋生物和声纳传输.
- 现有的算法在有限的快照和冲动干扰下与性能作斗争.
研究的目的:
- 为实际的水下探测提出一个高效的自适应DOA估计算法.
- 解决当前处理冲动噪声和有限数据的方法的局限性.
- 在具有挑战性的声学条件下提高DOA估计的准确性和稳定性.
主要方法:
- 整合偏差补偿自适应式无效数组技术.
- 应用基于混合物流的自适应内核宽度更新方法.
- 根据预测错误的最的梯度进行自适应内核宽度优化,以实现快速的融合.
主要成果:
- 拟议的算法证明了低稳定状态误差,即使在有限的快照.
- 在模拟中实现了高DOA估计准确性,低根平均平方误差,并提高了分辨率概率.
- 使用真实海上试验数据验证了可靠性和有效性.
结论:
- 开发的自适应算法有效地减轻冲动噪声,以改善DOA估计.
- 偏差补偿和自适应的内核宽度策略确保快速融合和低误差.
- 该算法在水下声学监测和检测中的实际应用方面显示出显著的前景.
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