简化STAP的计算方面

A. Bojanczyk, W. Melvin
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引用次数: 1

摘要

空时自适应处理(STAP)具有提高机载雷达平台弱目标探测能力的潜力。然而,计算负载和非同构环境是严重限制实际STAR实现的两个问题。我们通过考虑适用于机载雷达STAP的近似数值技术来解决前一个问题。减少的计算负荷使得更高的权重更新率成为可能,从而允许在范围内进行本地化的STAP处理,并应用改进的重量训练策略来减轻与后一个问题相关的困难。我们使用计算机模拟和多通道机载雷达测量(MCARM)程序的测量数据验证了我们方法的实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simplifying the computational aspects of STAP
Space-time adaptive processing (STAP) holds the potential to improve weak target detection from airborne radar platforms. However, the computational load and nonhomogeneous environments are two issues seriously limiting practical STAR implementation. We address the former issue by considering approximate numerical techniques appropriate for airborne radar STAP. Reduced computational load makes greater weight update rates possible, thereby allowing localized STAP processing in range and application of improved weight training strategies to mitigate difficulties associated with the latter issue. We verify the utility of our approach using computer simulation and measured data from the Multichannel Airborne Radar Measurements (MCARM) program.
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