Parameter Design Method of Stepped-Frequency Radar to Suppress Clutter

2011 ◽  
Vol 130-134 ◽  
pp. 2042-2046
Author(s):  
Ying Wang ◽  
Hong Yan Su ◽  
Huai Cheng Zhu ◽  
Qi Yuan
Keyword(s):  
High Resolution ◽  
Frequency Domain ◽  
Design Method ◽  
Low Velocity ◽  
Stationary Target ◽  
Range Resolution ◽  
Resolution Imaging ◽  
Low Altitude ◽  
Stepped Frequency ◽  
High Resolution Range Profile

The stepped-frequency radar can measure the velocity between radar and target as while as obtain high range resolution. The Doppler shift of moving target may make its high resolution range profile move away from high resolution imaging region of stationary target. Consequently stepped-frequency radar possesses the ability of detecting dim target in clutter, which is suitable for attacking low-altitude dim target with low velocity. In this paper, the distribution of clutter is analyzed in frequency domain firstly. Then the design method of signal parameters is put forward based on the analysis in frequency domain. Finally, the simulation results demonstrate the effectiveness of the method.

scholarly journals Design and Processing Method for Doppler-Tolerant Stepped-Frequency Waveform Using Staggered PRF

Sensors ◽  
2021 ◽  
Vol 21 (19) ◽  
pp. 6673
Author(s):  
Yan Zhang ◽  
Chunmao Yeh ◽  
Zhangfeng Li ◽  
Yaobin Lu ◽  
Xuebin Chen
Keyword(s):  
High Resolution ◽  
Design Method ◽  
Pulse Repetition Frequency ◽  
Waveform Design ◽  
Repetition Frequency ◽  
Pulse Repetition ◽  
Electromagnetic Data ◽  
Range Profile ◽  
Stepped Frequency ◽  
High Resolution Range Profile

Stepped-frequency waveform may be used to synthesize a wideband signal with several narrow-band pulses and achieve a high-resolution range profile without increasing the instantaneous bandwidth. Nevertheless, the conventional stepped-frequency waveform is Doppler sensitive, which greatly limits its application to moving targets. For this reason, this paper proposes a waveform design method using a staggered pulse repetition frequency to improve the Doppler tolerance effectively. First, a generalized echo model of the stepped-frequency waveform is constructed in order to analyze the Doppler sensitivity. Then, waveform design is carried out in the stepped-frequency waveform by using a staggered pulse repetition frequency so as to eliminate the high-order phase component that is caused by the target’s velocity. Further, the waveform design method is extended to the sparse stepped-frequency waveform, and we also propose corresponding methods for high-resolution range profile synthesis and motion compensation. Finally, experiments with electromagnetic data verify the high Doppler tolerance of the proposed waveform.

A High-resolution Imaging Algorithm for MIMO SAR Based on the Sub-band Synthesis in Frequency Domain

2011 ◽  
Vol 33 (5) ◽  
pp. 1082-1087 ◽  
Author(s):  
Yun-kai Deng ◽  
Qian Chen ◽  
Hai-ming Qi ◽  
Hui-fang Zheng ◽  
Ya-dong Liu
Keyword(s):  
High Resolution ◽  
Frequency Domain ◽  
High Resolution Imaging ◽  
Imaging Algorithm ◽  
Resolution Imaging

scholarly journals Spatial spectroscopy for high resolution imaging

2020 ◽  
Vol 238 ◽  
pp. 06005
Author(s):  
Arturo Villegas ◽  
Juan P. Torres
Keyword(s):  
High Resolution ◽  
Frequency Domain ◽  
Hyperspectral Imaging ◽  
Optimal Estimation ◽  
High Resolution Imaging ◽  
Homodyne Detection ◽  
Detection Scheme ◽  
Spatial Modes ◽  
Resolution Imaging ◽  
Complete Set

Quantum estimation theory provides bounds for the precision in the estimation of a set of parameters that characterize a system. Two questions naturally arise: Is any of these bounds tight? And if this is the case, what type of measurements can attain such a limit? In this work we show that for phase objects, it is possible to find a tight resolution bound. Moreover one can find a set of spatial modes whose detection provides an optimal estimation of the complete set of parameters for which we propose a homodyne detection scheme. We call this method spatial spectroscopy since it mimics in the spatial domain what conventional spectroscopy methods do in the frequency domain employing many frequencies (hyperspectral imaging).

Stepped-Frequency Radar Imaging Algorithm Based on Compression Sensing

2014 ◽  
Vol 543-547 ◽  
pp. 2609-2613 ◽  
Author(s):  
Lu Huang ◽  
Peng Yu Wang ◽  
Qian Song
Keyword(s):  
High Resolution ◽  
Ground Penetrating Radar ◽  
Real Data ◽  
Metal Mine ◽  
High Resolution Images ◽  
Resolution Imaging ◽  
Stepped Frequency ◽  
Compression Sensing ◽  
Ground Penetrating ◽  
Forward Looking

Compressive sensing (CS) theory asserts that one can recover original signals from far fewer random samples under the condition of being sparse. CS theory is applied to high resolution imaging of vehicle-mounted stepped-frequency forward-looking ground-penetrating radar. This paper explores an approach of obtaining discrete scattering structure of the metal mine based on CS imaging and extracting geometry parameters to discriminate targets. Real data of vehicle-mounted stepped-frequency forward-looking ground-penetrating radar is processed. High resolution images of the metal mine with double-scattering structure are obtained. The feasibility of the method is tested through these images.

The Research Methodology of AR Spectrum Estimation to Stepped-Frequency Signal Processing

2013 ◽  
Vol 313-314 ◽  
pp. 1243-1246
Author(s):  
Jian Bai ◽  
Wei Zhang ◽  
Hou Jun Sun
Keyword(s):  
Signal Processing ◽  
High Resolution ◽  
Research Methodology ◽  
Linear Prediction ◽  
Ar Model ◽  
Spectrum Estimation ◽  
Frequency Signal ◽  
Range Profile ◽  
Stepped Frequency ◽  
High Resolution Range Profile

This paper uses modern spectrum setimation to process stepped-frequency signals which have extracted to obtain high resolution range profile. This paper use FPE criteria and AIC criteria to estimate the order of AR model, and linear prediction is used to test the performance of AR model. Compared with conventional IFFT processing, the results of spectrum estimation is satisfactory, and the exact location of high resolution range profile is determined.

High-range-resolution imaging using frequency domain interferometry with stabilization techniques for real-time vascular ultrasound

2015 ◽  
Vol 54 (7S1) ◽  
pp. 07HF05 ◽  
Author(s):  
Hirofumi Taki ◽  
Kousuke Taki ◽  
Makoto Yamakawa ◽  
Tsuyoshi Shiina ◽  
Motoi Kudo ◽  
...  
Keyword(s):  
Frequency Domain ◽  
Real Time ◽  
Range Resolution ◽  
Vascular Ultrasound ◽  
Resolution Imaging ◽  
High Range
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