基于并行计算的PCAL信号相位实时提取系统设计

doi:10.12305/j.issn.1001-506X.2025.02.05

系统工程与电子技术 ›› 2025, Vol. 47 ›› Issue (2): 376-389.doi: 10.12305/j.issn.1001-506X.2025.02.05

• 电子技术 • 上一篇

基于并行计算的PCAL信号相位实时提取系统设计

李雪健¹^,², 陈永强³, 马宏¹^,², 刘杨⁴, 王育欣¹^,², 焦义文¹^,²^,*

1. 航天工程大学电子与光学工程系, 北京 101416
2. 智能化航天测运控教育部重点实验室(航天工程大学), 北京 101416
3. 宇航动力学国家重点实验室(中国西安卫星测控中心), 陕西西安 710000
4. 浙江工业大学机械工程学院, 江苏杭州 310012

收稿日期:2024-01-22 出版日期:2025-02-25 发布日期:2025-03-18
通讯作者: 焦义文
作者简介:李雪健 (2000—), 男, 博士研究生, 主要研究方向为航天测控通信、天线组阵、星地高速数传
陈永强 (1988—), 男, 工程师, 硕士, 主要研究方向为航天测控通信
马宏 (1976—), 男, 教授, 博士, 主要研究方向为软件定义测控、航天测控通信
刘杨 (2001—), 女, 硕士研究生, 主要研究方向为机械工程、仿生无人机
王育欣 (2001—), 女, 博士研究生, 主要研究方向为智能测控辐射源识别
焦义文 (1985—), 男, 副教授, 博士, 主要研究方向为软件定义测控、航天测控通信

Design of PCAL signal phase real-time extraction system based on parallel computing

Xuejian LI¹^,², Yongqiang CHEN³, Hong MA¹^,², Yang LIU⁴, Yuxin WANG¹^,², Yiwen JIAO¹^,²^,*

1. Department of Electronic and Optical Engineering, Space Engineering University, Beijing 101416, China
2. Key Laboratory of Intelligent Space TTC&O of Ministry of Education, Space Engineering University, Beijing 101416, China
3. State Key Laboratory of Astronautic Dynamics (China Xi'an Satellite Control Center), Xi'an 710000, China
4. College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310012, China

Received:2024-01-22 Online:2025-02-25 Published:2025-03-18
Contact: Yiwen JIAO

摘要/Abstract

摘要：

针对天线组阵设备链路中相位校准(phase calibration，PCAL)信号的高效率真实相位提取这一需求，首先提出一种优化快速傅里叶变换(fast Fourier transform, FFT)分辨率的PCAL信号真实相位提取方法。为进一步提升计算效率，将该方法与深度计算单元(deep computing unit，DCU)并行计算技术相结合，提出PCAL信号真实相位并行提取方法，并设计实现一种基于并行计算的PCAL信号相位实时提取系统。针对上述改进方法及实时系统进行实验验证，大量实验结果表明，优化FFT分辨率的方法相比传统FFT方法可实现约3倍的加速比；在引入并行计算后，加速比进一步提升近一个数量级，基于并行计算的PCAL信号相位实时提取系统可实现对有效带宽为2.2 GHz及以下、信号间隔为1 MHz、量化位数为8 bit的PCAL信号的相位实时提取。此外，设计的实时系统亦适用于其他变频设备的链路标校。

关键词: 相位提取, 相位校准信号, 天线组阵, 并行计算, 实时系统设计

Abstract:

For the demand of high efficiency real phase extraction of phase calibration (PCAL) signals in antenna array equipment links, a real phase extraction method of PCAL signals using optimized fast Fourier transform (FFT) resolution is firstly proposed. In order to further improve the computational efficiency, the proposed method is combined with the deep computing unit (DCU) parallel computing technology to propose a parallel extraction method for the real phase of PCAL signal, and a real-time PCAL signal phase extraction system based on parallel computing is designed and realized. The experimental verification of the above improved method and real-time system is carried out, and a large number of experimental results show that the optimized FFT resolution method can achieve about three times of the acceleration ratio compared with the traditional FFT method. After the introduction of parallel computing, the acceleration ratio is further improved by nearly one order of magnitude, and the real-time extraction system of the phase of PCAL signals based on parallel computing can realize the real-time extraction of the phase of PCAL signals with the effective bandwidths of 2.2 GHz and below, the signal interval of 1 MHz, and the quantization number of 8 bit. In addition, the designed real-time system is also applicable to the link calibration of other frequency variation equipment.

Key words: phase extraction, phase calibration (PCAL) signal, antenna array, parallel computing, real-time system design

中图分类号:

TN911.7

李雪健, 陈永强, 马宏, 刘杨, 王育欣, 焦义文. 基于并行计算的PCAL信号相位实时提取系统设计[J]. 系统工程与电子技术, 2025, 47(2): 376-389.

Xuejian LI, Yongqiang CHEN, Hong MA, Yang LIU, Yuxin WANG, Yiwen JIAO. Design of PCAL signal phase real-time extraction system based on parallel computing[J]. Systems Engineering and Electronics, 2025, 47(2): 376-389.

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参考文献 36

1	毛飞龙, 焦义文, 马宏, 等. 基于GPU的天线组阵信号时延补偿方法[J]. 系统工程与电子技术, 2023, 45 (8): 2383- 2394.
	MAO F L , JIAO Y W , MA H , et al. Time delay compensation method of antenna array signal based on GPU[J]. Systems Engineering and Electronics, 2023, 45 (8): 2383- 2394.
2	RASHID M , NANZER J A . Online expectation-maximization based frequency and phase consensus in distributed phased arrays[J]. IEEE Trans. on Communications, 2023, 71 (6): 3721- 3735. doi: 10.1109/TCOMM.2023.3261388
3	MA H, WEI S J, LIAN X, et al. Research on delay calibration method of VLBI terminal device[C]//Proc. of the International Conference on Information and Communications Technologies, 2014.
4	JIAO Y W, JIANG K, LIAN X, et al. Study on phase calibration signal processing[C]//Proc. of the IEEE International Conference on Signal Processing, Communications and Computing, 2014: 94-97.
5	NOSOV E V . Methods for measuring the signal of the phase ca-libration of the VLBI radio telescopes[J]. Radiophysics and Quantum Electronics, 2019, 62 (4): 237- 249. doi: 10.1007/s11141-019-09972-z
6	KONDO T , TAKEFUJI K . An algorithm of wideband bandwidth synthesis for geodetic VLBI[J]. Radio Science, 2016, 51 (10): 1686- 1702. doi: 10.1002/2016RS006070
7	QI B B , LIU D G . DOA estimation of coherent signals based on coherent accumulation vector[J]. Wireless Personal Communications, 2022, 125 (3): 2393- 2412. doi: 10.1007/s11277-022-09664-4
8	FISNE A , OZSOY A . design and implementation of real-time wideband software-defined radio applications with GPGPUs[J]. Concurrency and Computation: Practice and Experience, 2018, 30 (21): e4791. doi: 10.1002/cpe.4791
9	THOMAS J B. The tone generator and phase calibration in VLBI measurements[R]. U.S. DSN Progress Report, 1978: 42-44.
10	JACOBS C S. Phase calibration tone processing with the block Ⅱ VLBI correlator[R]. U.S. TMO Progress Report, 1998: 42-134.
11	刘友永, 郭肃丽, 王彬. VLBI观测中相位校准信号的处理[J]. 载人航天, 2010, 16 (4): 5- 8. doi: 10.3969/j.issn.1674-5825.2010.04.002
	LIU Y Y , GUO S L , WANG B . The processing of phase calibration signal in VLBI observation[J]. Chinese Journal of Astronautics, 2010, 16 (4): 5- 8. doi: 10.3969/j.issn.1674-5825.2010.04.002
12	姜坤, 侯孝民, 许可, 等. PCAL信号多频点高效并行提取方法[J]. 飞行器测控学报, 2012, 31 (6): 32- 36.
	JIANG K , HOU X M , XU K , et al. High efficiency parallel extraction of multi-tone PCAL signals[J]. Journal of Aircraft Measurement and Control, 2012, 31 (6): 32- 36.
13	姜坤, 王元钦, 侯孝民, 等. 相位校准信号高效提取方法及误差分析[J]. 信号处理, 2014, 30 (2): 197- 204. doi: 10.3969/j.issn.1003-0530.2014.02.010
	JIANG K , WANF Y Q , HOU X M , et al. High efficient extraction of phase calibration signals and error analysis[J]. Signal Processing, 2014, 30 (2): 197- 204. doi: 10.3969/j.issn.1003-0530.2014.02.010
14	常捷, 王锦清, 江永琛, 等. 通过相位校准信号定标绝对链路时延方法及应用[J]. 天文研究与技术, 2022, 19 (4): 297- 304.
	CHANG J , WANG J Q , JIANG Y C , et al. Method and application of measuring absolute link delay by PCAL[J]. Astronomical Research & Technology, 2022, 19 (4): 297- 304.
15	WANG Z . Audio signal acquisition and processing system based on model DSP rapid design[J]. Security and Communication Networks, 2022, 4593339.
16	HUANG G X , WANG L . An FPGA-based architecture for high-speed compressed signal reconstruction[J]. ACM Trans. on Embedded Computing Systems, 2017, 16 (3): 1- 23.
17	DAS K , NATH D , PRADHAN S N . FPGA and ASIC realisation of EMD algorithm for real-time signal processing[J]. IET Circuits, Devices & Systems, 2020, 14 (6): 741- 749.
18	DIVYA N . Review on FPGA implementation of 16*16 vedic multiplier in VHDL environment[J]. Journal of Trend in Sc-ientific Research and Development, 2018, 2 (2): 1132- 1134.
19	WAIDYASOORIYA H M , HARIYAMA M . Temporal and spatial parallel processing of simulated quantum annealing on a multicore CPU[J]. The Journal of Supercomputing, 2022, 78 (6): 8733- 8750. doi: 10.1007/s11227-021-04242-0
20	AKARVARDAR K , WONG H S P . Technology prospects for data-intensive computing[J]. Proc.of the IEEE, 2023, 111 (1): 92- 112. doi: 10.1109/JPROC.2022.3218057
21	BURGESS J . RTX on—the NVIDIA turing GPU[J]. IEEE Micro, 2020, 40 (2): 36- 44. doi: 10.1109/MM.2020.2971677
22	JIA J , LIN X Y , LIN F , et al. DCU-CHK: checkpointing for large-scale CPU-DCU heterogeneous computing systems[J]. CCF Trans. on High Performance Computing, 2024, 1 (3): 15- 21. doi: 10.1007/s42514-023-00178-4
23	MA K , HAN L , SHANG J D , et al. Optimized realization of quantum Fourier transform for domestic DCU accelerator[J]. Journal of Physics: Conference Series, 2022, 2258 (1): 012065. doi: 10.1088/1742-6596/2258/1/012065
24	ZHOU Q W , LI J N , ZHAO R C , et al. Compilation optimization of DCU-oriented openMP thread scheduling[J]. Journal of Physics: Conference Series, 2023, 2558 (1): 012003. doi: 10.1088/1742-6596/2558/1/012003
25	PEEROO K, POPOV P, STANKOVIC V. A survey on experi -mental performance evaluation of data distribution service (DDS) implementations[EB/OJ]. [2023-12-22]. https://arXive-Prints, 2023: arXiv: 2310.16630.
26	MAO F L, MA H, JIAO Y W. Analysis of the research status of phase interferometer deblurring[C]//Proc. of the IEEE International Conference on Artificial Intelligence and Industrial Design, 2021: 667-672.
27	COBOS M , ANTONACCI F , COMANDUCCI L , et al. Frequency-sliding generalized cross-correlation: a sub-band time delay estimation approach[J]. IEEE/ACM Trans. on Audio, Speech, and Language Processing, 2020, 28, 1270- 1281. doi: 10.1109/TASLP.2020.2983589
28	ZHANG X D , TANG Z , ZHANG X T , et al. Coconcurrency mechanism for multi-GPUs in distributed heterogeneous environments[J]. IEEE Trans. on Parallel and Distributed Systems, 2022, 33 (12): 4935- 4947. doi: 10.1109/TPDS.2022.3208082
29	ZHENG X R , JIN J P , WANG Y J , et al. Research on the application and performance optimization of GPU parallel computing in concrete temperature control simulation[J]. Buildings, 2023, 13 (10): 2657. doi: 10.3390/buildings13102657
30	LIN Y , JENG J Y , LIU Y Y , et al. A review of PCI express protocol-based systems in response to 5G application demand[J]. Electronics, 2022, 11 (5): 678. doi: 10.3390/electronics11050678
31	ROUI M B , SHEKOFTEH S K , NOORI H , et al. Efficient scheduling of streams on GPGPUs[J]. The Journal of Supercomputing, 2020, 76 (11): 7270- 7302.
32	TAN G , SHUI C Y , WANG Y S , et al. Optimizing the LINPACK algorithm for large-scale PCIe-based CPU-GPU heterogeneous systems[J]. IEEE Trans. on Parallel and Distributed Systems, 2021, 32 (9): 2367- 2380. doi: 10.1109/TPDS.2021.3067731
33	HAN W C , LI H , GONG M G , et al. Multi-swarm particle swarm optimization based on CUDA for sparse reconstruction[J]. Swarm and Evolutionary Computation, 2022, 75, 101153. doi: 10.1016/j.swevo.2022.101153
34	PANG W G , LUO X T , CHEN K L , et al. Efficient CUDA stream management for multi-DNN real-time inference on embedded GPUs[J]. Journal of Systems Architecture, 2023, 139, 102888. doi: 10.1016/j.sysarc.2023.102888
35	ZHANG F , WANG N , HU Z , et al. A study of UDP and TCP FPGA implementation for data acquisition system[J]. Journal of Instrumentation, 2021, 16 (7): P07044. doi: 10.1088/1748-0221/16/07/P07044
36	LUO P , ZOU D Q , DU Y J , et al. Static detection of real-world buffer overflow induced by loop[J]. Computers & Security, 2020, 89, 101616.

仪器名称	型号	功能
频谱仪	R&S FSV40 Signal Analyzer	标定原始信号参数
PCAL信号国产DCU处理设备	思腾合力CH4D20	提取信号相位
超宽带信号生成平台	MAG2000A	产生PCAL原始信号
显控设备	Dell Precision 3561	显示参数及波形

名称	参数
工作站型号	思腾合力CH4D20
CPU	Hygon C86 7375 32-core Processor @ 2.00GHz
每个CPU核心数	32
DCU	Z100L
AD采集卡	坤驰QT7136
操作系统	CentOS Linux 7
编译环境	Visual Studio Code+NVCC
GPU架构	CUDA 11.1

型号	数量/个	频率/GHz	核心数/个	内存/GB
Hygon C86 7375 32-core Processor CPU	2	2.00	64	256
Z100L DCU	3	1.60	2 560	32

参数	循环缓冲区
参数	1	2
数据缓存块个数/个	50	50
每个数据缓存块大小	2 MB	2 KB
循环缓冲区总大小	100 MB	100 KB

参数	数值
PCAL信号带宽/MHz	32
PCAL信号间隔/MHz	1
PCAL信号量化位数/bit	8
第1个PCAL频点相对于零频的偏移/MHz	1
FFT分辨率	1 000
PCAL信号相干累加时间/s	1
PCAL信号相位提取跳过数据的大小/s	1
PCAL信号处理数据量/GB	20

基于并行计算的PCAL信号相位实时提取系统设计

Design of PCAL signal phase real-time extraction system based on parallel computing

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参数	数值
PCAL信号有效带宽/GHz	5.12×10^-4~3
PCAL信号间隔/MHz	1
PCAL信号量化位数/bit	8
第1个PCAL频点相对于零频的偏移/MHz	1
FFT分辨率	1 000
PCAL信号相干累加时间/s	1
PCAL信号相位提取跳过数据的大小/s	1

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[8]	钟何平, 唐劲松, 张学波. 基于最小不连续的分块相位解缠算法[J]. Journal of Systems Engineering and Electronics, 2012, 34(9): 1801-1806.
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[11]	于荣欢, 吴玲达, 瞿师. 组网雷达探测能力的并行计算与可视化方法研究[J]. Journal of Systems Engineering and Electronics, 2011, 33(11): 2512-2516.
[12]	郭立新，麻军，王蕊，刘晓勇. MPI并行矩量法计算二维粗糙面波束电磁散射[J]. Journal of Systems Engineering and Electronics, 2010, 32(9): 1841-1845.
[13]	李妮1, 陈铮2, 龚光红1, 彭晓源1. 多核并行计算技术在景象匹配仿真中的应用[J]. Journal of Systems Engineering and Electronics, 2010, 32(2): 428-432.
[14]	张代远1,2. 基于分布式并行计算的神经网络算法[J]. Journal of Systems Engineering and Electronics, 2010, 32(2): 386-391.