Performance Improvement of Bistatic Baseline Detection

Abstract

For bistatic detection, the desired target is always smeared by the direct blast, limited by the performance of direction-of-arrival (DOA) estimation algorithms. Thus, a deconvolved Multiple-Signal-Classification (D-MUSIC) DOA estimation algorithm is proposed. D-MUSIC beam power is obtained by deconvolving MUSIC beam power using the point-scattering-function (PSF) and Richardson-Lucy (R-L) iteration algorithm. Under low signal-to-noise ratios (SNRs), the background level of D-MUSIC beam power is much lower than that of MUSIC beam power. Besides, D-MUSIC can realize the weak target detection with an adjacent strong interferer in the mainlobe. Finally, via processing the actual data collected during the Sanya sea trial, we analyze the bearing time record (BTR) of MUSIC and D-MUSIC, verifying the superiority of D-MUSIC algorithm.

KEYWORDS:

• Bistatic detection
• Blind zone
• D-MUSIC
• Direct blast
• PSF
• R-L iteration
• Sea trial
• Weak target

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This research was funded by the National Natural Science Foundation of China (Grant No. U20A20329) and the National Key R&D Program of China (2022YFC2807804).

Notes on contributors

Xueli Sheng

Xueli Sheng received her BE degree, ME degree, and PhD in underwater acoustic engineering from Harbin Engineering University, Harbin, China, in 1999, 2001, and 2005, respectively. She is currently the doctoral advisor at the Department of Underwater Acoustic Engineering from Harbin Engineering University, Harbin, China. She has authored/coauthored more than 80 academic papers and one book called Underwater Acoustic Channel. Her areas of interest are underwater acoustic signal processing, multiplatform/bionic sonar technology, and semi-physical simulation of complex acoustic systems. E-mail: [email protected].

Dian Lu

Dian Lu received his BE degree in underwater acoustic engineering from Harbin Engineering University, Harbin, China, in 2016. He is currently pursuing PhD at the Department of Underwater Acoustic Engineering from Harbin Engineering University, Harbin, China. His areas of interest are array signal processing, underwater acoustic signal processing, multi-platformsonar technology. E-mail: [email protected].

Yingsong Li

Yingsong Li received his BE degree in electrical and information engineering and ME degree in electromagnetic field and microwave technology, from Harbin Engineering University in 2006 and 2011, respectively. He received his PhD degree from both Kochi University of Technology (KUT), Japan, and Harbin Engineering University, China, in 2014. Besides, he is a visiting scholar at the University of California, Davis, from March 2016 to March 2017 and University of York, UK, from Sept. 2018 to Oct. 2018. His research interests include remote sensing, underwater communication, signal processing, radar, SAR imaging, compressed sensing, and antennas.

Mengfei Mu

Mengfei Mu received his BE degree in electronic information engineering from Harbin Engineering University, Harbin, China, 2020. He is currently pursuing PhD at the Department of Underwater Acoustic Engineering from Harbin Engineering University, Harbin, China. His areas of interest are underwater target detection, array signal processing, and compressed sensing technology. E-mail: [email protected].

Jinghan Sun

Jinghan Sun received her BE degree in electronic information engineering from Harbin Engineering University, Harbin, China, in 2020. She is currently pursuing MS degree at the Department of Underwater Acoustic Engineering from Harbin Engineering University, Harbin, China. Her areas of interest are multisource information fusion, sonar performance analysis, and bionic extraction of biological signals. E-mail: [email protected].