摘 要
本文研究了基于多普勒雷达的飞行器目标识别技术的原理及存在的问题，并提出了优化措施。多普勒雷达可以测量目标相对速度、角度和距离等重要信息，为飞行器目标识别提供关键数据支持。但在应用中存在的噪声问题、目标特征提取问题和复杂环境下的识别问题等，限制了目标识别的精度和鲁棒性。为此，噪声滤波技术、特征提取算法和多传感器融合技术等优化措施提高了基于多普勒雷达的飞行器目标识别技术的准确性和鲁棒性。这些措施有望在未来的飞行器目标识别领域得到广泛的应用和推广。
关键词：多普勒雷达、飞行器目标识别、噪声滤波、特征提取
Abstract
This paper studies the principle and existing problems of aircraft target recognition technology based on Doppler radar, and puts forward some optimization measures. Doppler radar can measure the relative speed, Angle, distance and other important information, and provide key data support for aircraft target recognition. However, the problems of noise, feature extraction and recognition in complex environment limit the accuracy and robustness of target recognition. Therefore, noise filtering, feature extraction and multi-sensor fusion improve the accuracy and robustness of the aircraft target recognition technology based on Doppler radar. These measures are expected to be widely applied and popularized in the field of aircraft target recognition in the future.
Keyword:Doppler radar, aircraft target recognition, noise filtering, feature extraction
目 录
1引言 1
2多普勒雷达原理及其与飞行器目标识别的关系 1
2.1 多普勒雷达原理 1
2.2 飞行器目标识别的基本过程 2
2.3 多普勒雷达与飞行器目标识别的联系 2
3基于多普勒雷达的飞行器目标识别技术中存在的问题 2
3.1 噪声问题 2
3.2 目标特征提取问题 3
3.3 复杂环境下的识别问题 3
4基于多普勒雷达的飞行器目标识别技术的优化措施 4
4.1 噪声滤波技术 4
4.2 特征提取算法 4
4.3 多传感器融合技术 5
5结论 5
参考文献 7
致谢 8
本文研究了基于多普勒雷达的飞行器目标识别技术的原理及存在的问题，并提出了优化措施。多普勒雷达可以测量目标相对速度、角度和距离等重要信息，为飞行器目标识别提供关键数据支持。但在应用中存在的噪声问题、目标特征提取问题和复杂环境下的识别问题等，限制了目标识别的精度和鲁棒性。为此，噪声滤波技术、特征提取算法和多传感器融合技术等优化措施提高了基于多普勒雷达的飞行器目标识别技术的准确性和鲁棒性。这些措施有望在未来的飞行器目标识别领域得到广泛的应用和推广。
关键词：多普勒雷达、飞行器目标识别、噪声滤波、特征提取
Abstract
This paper studies the principle and existing problems of aircraft target recognition technology based on Doppler radar, and puts forward some optimization measures. Doppler radar can measure the relative speed, Angle, distance and other important information, and provide key data support for aircraft target recognition. However, the problems of noise, feature extraction and recognition in complex environment limit the accuracy and robustness of target recognition. Therefore, noise filtering, feature extraction and multi-sensor fusion improve the accuracy and robustness of the aircraft target recognition technology based on Doppler radar. These measures are expected to be widely applied and popularized in the field of aircraft target recognition in the future.
Keyword:Doppler radar, aircraft target recognition, noise filtering, feature extraction
目 录
1引言 1
2多普勒雷达原理及其与飞行器目标识别的关系 1
2.1 多普勒雷达原理 1
2.2 飞行器目标识别的基本过程 2
2.3 多普勒雷达与飞行器目标识别的联系 2
3基于多普勒雷达的飞行器目标识别技术中存在的问题 2
3.1 噪声问题 2
3.2 目标特征提取问题 3
3.3 复杂环境下的识别问题 3
4基于多普勒雷达的飞行器目标识别技术的优化措施 4
4.1 噪声滤波技术 4
4.2 特征提取算法 4
4.3 多传感器融合技术 5
5结论 5
参考文献 7
致谢 8
