Monopulse Dimension-Reduced Space-Time Adaptive Processing Based on Persymmetric Array
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摘要: 混响作为声呐系统工作环境中的主要干扰之一, 严重影响声呐系统的检测性能。水下单脉冲空时自适应处理(STAP)能够很好地适应于水声环境, 有效提高运动声呐的混响抑制能力。但在实际混响环境中, 单脉冲STAP存在计算量过大和辅助数据不足2个局限性。文中将阵列的斜对称特性应用于单脉冲局域联合处理(JDL)-STAP中, 仿真试验结果表明, 该算法可以降低对辅助数据的依赖, 提高混响协方差矩阵的估计精度, 有效降低计算量, 提高混响的抑制性能和目标方位估计精度。
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关键词:
- 单脉冲空时自适应处理 /
- 运动声呐 /
- 混响 /
- 斜对称阵列 /
- 局域联合处理
Abstract: Reverberation is one of the main interference in the underwater environment, which seriously affects the detection performance of sonar system. Monopulse space-time adaptive processing(STAP) is more suitable for the underwater acoustic environment and can effectively improve the reverberation suppression capability of the moving sonar. However, there are two limitations of huge computational burden and insufficient secondary data in monopulse STAP in practical applications. In this paper, the persymmetric property of the array is applied to the monopulse joint domain localization(JDL)-STAP algorithm. Simulation results show that this algorithm can reduce the dependence on auxiliary data, improve the estimation accuracy of the reverberation covariance matrix, effectively reduce the calculation amount, improve the suppression performance of reverberation and greatly improve the performance of target azimuth estimation. -
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