Journal of Systems Engineering and Electronics ›› 2021, Vol. 32 ›› Issue (4): 873-880.doi: 10.23919/JSEE.2021.000075

• SYSTEMS ENGINEERING • Previous Articles     Next Articles

Range-spread target detector via coherent energy accumulation and block thresholding denoising

Yunjian ZHANG1(), Pingping PAN1(), Zhenmiao DENG1,*(), Gang WU2()   

  1. 1 School of Electronics and Communication Engineering, Sun Yat-sen University, Guangzhou 510275, China
    2 Jiuquan Satellite Launch Center, Dunhuang 736200, China
  • Received:2020-08-04 Online:2021-08-18 Published:2021-09-30
  • Contact: Zhenmiao DENG E-mail:zhangyunj@mail.sysu.edu.cn;pingping_pan2008@163.com;dengzhm7@sysu.edu.cn
  • About author:|ZHANG Yunjian was born in 1986. He received his B.E. degree in communication engineering from Beijing University of Posts and Telecommunications, Beijing, China, in 2008, M.S. degree in electronics and communication engineering from University of Electronic Science and Technology of China, Chengdu, China, in 2013, and Ph.D. degree in communication and information systems from Xiamen University (XMU), Xiamen, China, in 2016. From 2017 to 2019 he was a post-doctoral research fellow with the School of Information Science and Engineering, XMU. In 2019 he joined the School of Electronics and Communication Engineering, Sun Yat-sen University, China, where he is now an assistant professor. His research interests include statistical signal processing, parameter estimation, and target detection. E-mail: zhangyunj@mail.sysu.edu.cn||PAN Pingping was born in 1990. She received her B.E. degree in telecommunication engineering and management from Beijing University of Posts and Telecommunications, Beijing, China, in 2012, M.S. degree in communication and information systems from Xiamen University, Xiamen, China, in 2016. She is currently pursuing her Ph.D. degree with the School of Electronics and Communication Engineering, Sun Yat-sen University, China. Her research interests include parameter estimation and signal processing. E-mail: pingping_pan2008@163.com||DENG Zhenmiao was born in 1977. He received his B.S. degree in electronic engineering and Ph.D. degree in signal and information processing from Nanjing University of Aeronautics and Astronautics (NUAA), Nanjing, China, in 1999 and 2007, respectively. From 2007 to 2009, he was a post doctoral research fellow with the College of Automation Engineering, NUAA, involved in the field of signal detection and parameter estimation. From 2010 to 2019, he was on the faculty of Xiamen University, China, where he has been a full professor since 2016. In 2019, he joined the School of Electronics and Communication Engineering, Sun Yat-sen University, China. His current research interests include signal detection, parameter estimation, array signal processing, and multirate signal processing. E-mail: dengzhm7@sysu.edu.cn||WU Gang was born in 1980. He received his B.E. degree in measurement and control technology and instrument from Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 2003, and M.S. degree in electronic and communication engineering from Xidian University, Xi’an, China, in 2012. His current research interests include target detection and recognition. E-mail: 37192275@qq.com
  • Supported by:
    This work was supported by the Joint Fund of Aerospace Science and Engineering (76150-41020014), and the Regional Joint Fund for Basic and Applied Basic Research of Guangdong Province (2019B1515120009)

Abstract:

A range-spread target (RST) detector is proposed for wideband radar. The detector, referred to as a conjugate multiplication and block thresholding (CMBT) detector, is simple for implementation in existing radar systems and has the advantage of minor calculation. First, the target energy of adjacent stretched echoes is coherently accumulated via conjugate multiplication and Fourier transform operations. It is noted that conjugate multiplication of two complex Gaussian distributed noise is complex double Gaussian distributed, leading to a signal to noise ratio (SNR) loss. Subsequently, considering the sparsity and clustering characteristics of the conjugate multiplication amplitude spectrum (CMAS), the block thresholding method is adopted for denoising, where the noise and cross-terms are adaptively smoothed, and the signal terms can be basically preserved. Finally, numerical simulation results for both synthetic and real radar data validate the effectiveness of the proposed detector, comparing with the conventional integration detector (ID), the spatial scattering density (SSD) detector, and waveform entropy (WE) and waveform contrast (WC) based detectors.

Key words: wideband radar, detection, range-spread target, conjugate multiplication, block thresholding denoising