Zonal Imaging Algorithm of Range-Speed Target Based on the LMSF Radar Signal

2012 ◽  
Vol 263-266 ◽  
pp. 462-467
Author(s):  
Yu Qiong Li ◽  
Song Hua He ◽  
Guang Zhu Li ◽  
Jianping Ou ◽  
Jun Zhang
Keyword(s):  
Theoretical Model ◽  
Coupling Effect ◽  
Recognition Algorithm ◽  
Automatic Recognition ◽  
Radar Signal ◽  
Imaging Algorithm ◽  
Range Profile ◽  
Range Spread ◽  
Stepped Frequency ◽  
Wideband Radar

The automatic recognition of range-spread target is based on its range profile. When obtaining its range profile by using synthetic wideband radar signal, the different-range scatters would be overlapped because of the range-doppler coupling effect. The overlapping effect affects the ability of the automatic recognition algorithm. According to this, based on the Linearly Modulated Stepped Frequency (LMSF) radar signal, coherent processing of range profiles to obtain zonal image of range-spread target is proposed in this paper, which avoids the overlapping effect. The theoretical model of the zonal image of range-spread target is presented, the signal processing flow is derived, and the simulation result of zonal image is also given in this paper.

Study on Imaging Algorithm for Stepped-Frequency Chirp Train Waveform

2013 ◽  
Vol 347-350 ◽  
pp. 1101-1105
Author(s):  
Liang Wang ◽  
Chao Xuan Shang ◽  
Qiang He ◽  
Zhuang Zhi Han ◽  
Hong Wei Ren
Keyword(s):  
Matched Filter ◽  
Sampling Frequency ◽  
Frequency Chirp ◽  
Imaging Algorithm ◽  
Range Profile ◽  
Filter Operation ◽  
Close Range ◽  
Stepped Frequency ◽  
High Resolution Range Profile ◽  
Ghost Images

A range profile synthetic algorithm of the stepped-frequency chirp train waveform is designed to obtain HRRP (High Resolution Range Profile) in this paper. Based on waveform model, grating lobes restraining method is proposed with the help of autocorrelation function. Due to the matched filter operation, image energy spill over the close range bins, which causes “ghost images”. Set parameters of inner pulse bandwidth, stepped frequency and chirp compression envelop sampling frequency properly, and then carry the synthetic algorithm, the “ghost images” are restrained. All of the results are validated by simulation.

scholarly journals Design and Processing of a Novel Chaos-Based Stepped Frequency Synthesized Wideband Radar Signal

Sensors ◽  
2018 ◽  
Vol 18 (4) ◽  
pp. 985 ◽  
Author(s):  
Tao Zeng ◽  
Shaoqiang Chang ◽  
Huayu Fan ◽  
Quanhua Liu
Keyword(s):  
Radar Signal ◽  
Stepped Frequency ◽  
Wideband Radar

A New OFDM Phase-coded Stepped-frequency Radar Signal and Its Characteristic

2011 ◽  
Vol 33 (3) ◽  
pp. 677-683 ◽  
Author(s):  
Kai Huo ◽  
Wei-dong Jiang ◽  
Xiang Li ◽  
Jun-jie Mao
Keyword(s):  
Radar Signal ◽  
Stepped Frequency

Algorithm to process the stepped frequency radar signal for a thin road surface application

2018 ◽  
Vol 158 ◽  
pp. 1090-1098 ◽  
Author(s):  
Ari Hartikainen ◽  
Terhi Pellinen ◽  
Eeva Huuskonen-Snicker ◽  
Pekka Eskelinen
Keyword(s):  
Road Surface ◽  
Radar Signal ◽  
Surface Application ◽  
Stepped Frequency

scholarly journals A Robust Real-Time Automatic Recognition Prototype for Maritime Optical Morse-Based Communication Employing Modified Clustering Algorithm

2020 ◽  
Vol 10 (4) ◽  
pp. 1227 ◽  
Author(s):  
Xiaozheng Wang ◽  
Minglun Zhang ◽  
Hongyu Zhou ◽  
Xinglong Lin ◽  
Xiaomin Ren
Keyword(s):  
Real Time ◽  
Clustering Algorithm ◽  
Signal To Noise Ratio ◽  
Light Emitting Diode ◽  
Experimental Tests ◽  
Recognition Algorithm ◽  
Automatic Recognition ◽  
Decision Threshold ◽  
Low Snr ◽  
Led Array

In maritime communications, the ubiquitous Morse lamp on ships plays a significant role as one of the most common backups to radio or satellites just in case. Despite the advantages of its simplicity and efficiency, the requirement of trained operators proficient in Morse code and maintaining stable sending speed pose a key challenge to this traditional manual signaling manner. To overcome these problems, an automatic system is needed to provide a partial substitute for human effort. However, few works have focused on studying an automatic recognition scheme of maritime manually sent-like optical Morse signals. To this end, this paper makes the first attempt to design and implement a robust real-time automatic recognition prototype for onboard Morse lamps. A modified k-means clustering algorithm of machine learning is proposed to optimize the decision threshold and identify elements in Morse light signals. A systematic framework and detailed recognition algorithm procedure are presented. The feasibility of the proposed system is verified via experimental tests using a light-emitting diode (LED) array, self-designed receiver module, and microcontroller unit (MCU). Experimental results indicate that over 99% of real-time recognition accuracy is realized with a signal-to-noise ratio (SNR) greater than 5 dB, and the system can achieve good robustness under conditions with low SNR.

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