Article Details

Title · Authors · Abstract · Keywords · DOI · References

Research on Telemetry Reception Sensitivity of Digital Array Based on DBF Signal-to-Noise Ratio Estimation

LU Changhai1, WANG Lei1, MAO Yongxin2, JIA Xinyu2

(1.Team 42, Unit 91550, Dalian 116023, China; 2.Unit 91445, Dalian 116043, China)

Section：Electronic Engineering · Vol. 2026, Issue 3 · Pages：21-25 · 2096-4706（2026）03-0021-05 · CLC number：TP927 · Document code：A · DOI：10.19850/j.cnki.2096-4706.2026.03.006

Abstract

Reception sensitivity is an important indicator characterizing the capability of a telemetry receiver to capture weak signals. For the link design and reception sensitivity index allocation of digital array telemetry systems, this paper comprehensively evaluates the sensitivity index of telemetry receiving systems through theoretical analysis combined with the equivalent conversion of measured telemetry demodulation loss, antenna gain and antenna equivalent noise temperature. In actual field tests, due to the interference of surrounding environments, ground radiation, other RF microwave radiation sources and other factors, the test results of wireless link sensitivity deviate significantly from theoretical values. To address this problem, this paper proposes a SNR estimation method for left-right rotation I/Q recorded data based on DBF, and achieves accurate estimation of SNR parameters and detection and verification of system sensitivity by applying the Welch spectrum estimation algorithm to collected data.

Keywords

SNR estimation; telemetry reception sensitivity; digital array

References

  1. [1] Sun Cheng, Wang Dan, Chen Jiabing Sensitivity testing of airborne active phased array radar [J]. Modern Radar, 2021, 43 (3): 50-55
  2. [2] Lin Xuanfeng, Peng Si, Liu Cheng, etc Boundary Study of Noise Coefficient for System Sensitivity Design [J]. Electronic Information Warfare Technology, 2023, 38 (3): 52-57
  3. [3] Zhang Feilong Analysis of the Impact of Environmental Noise Interference on the Sensitivity of Wireless Communication Reception [J]. Modern Information Technology, 2021, 5 (13): 37-41
  4. [4] Ding Lufei, Geng Fulu, Chen Jianchun Radar Principles [M]. Beijing: Electronic Industry Press, 2009
  5. [5] Li Tiantian, Shao Yunsong, Xu Shengfa, etc Design and Implementation of Satellite TT&C Ground Inspection Board [J]. Computer Measurement and Control, 2023, 31 (6): 1-5, 26
  6. [6] Wang Yindi Research on DORIS System Based on Spread Spectrum Technology [D]. Xi'an: Xi'an University of Electronic Science and Technology, 2012
  7. [7] Baojun Research on TDRSS Multimodal Transmission and Ranging Receiver [D]. Chengdu: University of Electronic Science and Technology of China, 2010
  8. [8] Yin Qiuhua, Qin Shunyou A Simple Estimation Method for Noise Temperature of Large Double Reflector Antennas [J]. Journal of the Chinese Academy of Electronic Sciences, 2025, 20 (2): 203-208
  9. [9] Cai Jinyao, Chen Xiaoyang Analysis of the influence of noise temperature on the level difference of S-band receiving link [J]. Foreign Electronic Measurement Technology, 2018, 37 (12): 49-53
  10. [10] Jin Xiang, Zhao Shengzhi, Xia Linghao, etc Analysis of Radar Sky Background Noise [J]. Modern Radar, 2023, 45 (7): 33-37
  11. [11] Lian Yingchun, Yu Daqun, Han Xu Research on a Fast Calibration Method for One Dimensional Phase Sweep Digital Array [J]. Microwave Journal, 2022, 38 (3): 14-19
  12. [12] Zhang Feng, Shi Xianfeng, Zhang Xuezhi Simulation and Analysis of Welch Power Spectrum Estimation Algorithm [J]. Journal of Xi'an Technological University, 2009, 29 (4): 353-356
  13. [13] Xiong Qi, Chen Nanhui, Fang Xia Implementation of parallel algorithm for Welch power spectrum estimation based on MPI [J]. Computer Engineering and Applications, 2014, 50 (12): 194-197

About the authors

Lu Changhai (1977-), male, Hui ethnic, from Yexian County, Henan Province, is a senior engineer and a master's student. His research direction is radio measurement and control.