利用合成孔径雷达识别器实现宽观测区域和高分辨率

IF 1.4 4区 管理学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Takayoshi Furuno
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引用次数: 0

摘要

为了实现宽观测区域和高分辨率,合成孔径雷达采用了包含位置和速度信息的小波变换观测区域。观测区域采用包含三维位置和速度散射信息的伪信号。小波变换(WT)应用于微动目标以获得伪信号,每个微动目标由参数比例 a 和参数偏移 b 的标识符(ID)定义。由于每个微动目标的间隔被 WT 最小化,所有微动目标的阵列成为一个连续体,可以用直线或曲线表示。只要微移动目标不重叠,每个微移动目标都可以通过 ID 进行识别。三维空间中的每一个移动信号都可以通过上述 ID 进行识别。结果表明,通过使用最少数量的微移动目标单元,可以扩大观测区域。此外,观测区域内的微移动目标可以高分辨率(3 厘米)获得,而且 ID 的位置不会因噪声而改变。这些发展有助于快速探测地震。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Broad observation area and high resolution using identifier for synthetic aperture radars

Broad observation area and high resolution using identifier for synthetic aperture radars

To achieve broad observation areas and high resolution, synthetic aperture radars adopt wavelet-transformed observation areas that contain information on position and velocity. The observation area adopts pseudosignals with scattering information about the position and velocity in three dimensions. The wavelet transform (WT) is applied to micromoving targets to obtain a pseudosignal, and each micromoving target is defined by an Identifier (ID) of parameter scale a and parameter shift b. Because the interval of each micromoving target is minimised by the WT, the array of all micromoving targets becomes a continuum that can be represented by straight or curved lines. Every micromoving target can be identified by an ID as long as the micromoving targets do not overlap. Every moving signal in a three-dimensional space can be identified by the abovementioned ID. The results demonstrated that the observation area can be broadened by employing the minimum number of units with micromoving targets. In addition, micromoving targets in the observation area can be obtained at a high resolution (3 cm), and the position of the ID does not change owing to noise. The developments presented can contribute to the fast detection of earthquakes.

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来源期刊
Iet Radar Sonar and Navigation
Iet Radar Sonar and Navigation 工程技术-电信学
CiteScore
4.10
自引率
11.80%
发文量
137
审稿时长
3.4 months
期刊介绍: IET Radar, Sonar & Navigation covers the theory and practice of systems and signals for radar, sonar, radiolocation, navigation, and surveillance purposes, in aerospace and terrestrial applications. Examples include advances in waveform design, clutter and detection, electronic warfare, adaptive array and superresolution methods, tracking algorithms, synthetic aperture, and target recognition techniques.
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