High-dimensional robust nested parallel streaming adaptive processor

doi:10.23919/JSEE.2025.000042

Journal of Systems Engineering and Electronics ›› 2026, Vol. 37 ›› Issue (2): 431-444.doi: 10.23919/JSEE.2025.000042

• DEFENCE ELECTRONICS TECHNOLOGY • Previous Articles

High-dimensional robust nested parallel streaming adaptive processor

Gang WU¹^,²^,³(), Zhongping HUANG²(), Zhiyong LEI²^,*()

¹College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou 310027, China
²Nanjing Research Institute of Electronics Technology, Nanjing 210039, China
³Polytechnic Institute of Zhejiang University, Hangzhou 310015, China

Received:2024-08-19 Accepted:2025-03-10 Online:2026-04-18 Published:2026-04-30
Contact: Zhiyong LEI E-mail:wugang151@sohu.com;274545306@qq.com;zhylie@163.com
About author:
WU Gang was born in 1973. He received his M.S. degree from Huazhong University of Science and Technology from 1999 to 2001. He is pursuing his Ph.D. degree in the College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China. He is a research professor with the Nanjing Research Institute of Electronics Technology, Nanjing. His current research interests include space-time adaptive processing and array signal processing. E-mail: wugang151@sohu.com

HUANG Zhongping was born in 1985. He received his M.S. degree from the Nanjing Research Institute of Electronics Technology from 2007 to 2010. He is pursuing his Ph.D. degree in the School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China. He is currently a professor with the Nanjing Research Institute of Electronics Technology, Nanjing. His current research interest is polarization-space-time adaptive processing. E-mail: 274545306@qq.com

LEI Zhiyong was born in 1975. He received his Ph.D. degree in Wuhan University from 1994 to 2006. He is a research professor with the Nanjing Research Institute of Electronics Technology, Nanjing. His research interest is the theory and technology of signal processing. E-mail: zhylie@163.com

Abstract

Abstract:

The paper presents a full-exchange streaming adaptive processor architecture with nested parallel sampling covariance matrix estimation and adaptive weight computation, to achieve polarization-space-time adaptive processing (P-STAP), adaptive digital beamforming (ADBF) and multiple side-lobe canceller (MSLC) within a configurable computational framework. An effective method for real-time numerical calculation is proposed by reducing truncation errors, ensuring robust convergence, and low time complexity through the lower-diagnoal-lower transpose (LDLT) right multiplication iterative (LDLT-RMI) method. To fully implement P-STAP for high-intensity interference clutter adaptive robust suppression, a series of intellectual property (IP) cores are designed for high-order, high-condition symmetric positive definite matrix inversion. The adaptive processor can operate on a frame-structured data flow, accommodating various space-time-frequency-polarization multi-domain combinations, which supports 8 to 100 channels with a dynamic range of up to 80 dB. Even the interferences reach a high intensity of 65 dB, the adaptive processor can still work stably.

Key words: nested parallel streaming adaptive processing (P-STAP), configurable computational framework, polarization-space-time adaptive processing, high-order high-condition matrix inversion

Gang WU, Zhongping HUANG, Zhiyong LEI. High-dimensional robust nested parallel streaming adaptive processor[J]. Journal of Systems Engineering and Electronics, 2026, 37(2): 431-444.

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Criterion	Method
Criterion	Gauss-Jordan	QR	LU	LLT	LDLT-RMI
Number of operator type	3	4	3	4	3
Addition	$ 4{n}^{3}+6{n}^{2} $	$ \dfrac{20{n}^{3}}{3}+6{n}^{2}-\dfrac{2n}{3} $	$ \dfrac{16{n}^{3}}{3}+\dfrac{11{n}^{2}}{3}-\dfrac{35n}{6}+6 $	$ 2{n}^{3}+{n}^{2}-3n $	$ \dfrac{2{n}^{3}+3{n}^{2}}{2}-\dfrac{5n}{2} $
Multiplication	$ 4{n}^{3}+8{n}^{2}+2n $	$ \dfrac{23{n}^{3}}{3}+\dfrac{7{n}^{2}}{2}+\dfrac{5n}{6} $	$ \dfrac{16{n}^{3}}{3}+17{n}^{2}-\dfrac{13n}{3} $	$ 2{n}^{3}+4{n}^{2}-6n $	$ 2{n}^{3}+3{n}^{2}-5n $
Division	$ 2n $	$ 3{n}^{2}+n $	$ 5{n}^{2}+n $	$ 2{n}^{2}-2n $	$ {n}^{2}-n $

High-dimensional robust nested parallel streaming adaptive processor

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