Chaotic Coding for Interference Suppression of Digital Ionosonde-Reference-Cited by-同舟云学术

Chaotic Coding for Interference Suppression of Digital Ionosonde

Published:2023-07-27 Issue:15 Volume:15 Page:3747
ISSN:2072-4292
Container-title:Remote Sensing
language:en
Short-container-title:Remote Sensing

Author:

Han Sijia¹²,Guo Wei¹,Liu Peng¹,Wang Te¹,Wang Caiyun¹,Fang Qingyu¹²,Yang Jian³⁴,Li Lingling³⁴⁵,Liu Dapeng⁶,Huang Jianping⁶

Affiliation:

1. Key Laboratory of Microwave Remote Sensing Technology, National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China

2. University of Chinese Academy of Sciences, Beijing 100040, China

3. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China

4. National Engineering Research Center of Satellite Remote Sensing Application, Beijing 100101, China

5. Key Laboratory of Earth Observation of Hainan Province, Hainan Aerospace Information Research Institute, Sanya 572029, China

6. National Institute of Natural Hazards, Ministry of Emergency Management of China, Beijing 100085, China

Abstract

External interference in ionospheric sounding seriously degrades the quality of echo signals and data; thus, it should be eliminated. This paper presents a method for suppressing interference using chaotic coding with a set of Bernoulli map sequences; compared with other commonly used coding methods such as Barker code, complementary code, and Barker-like codes, through simulation, the ambiguity function (AF) of Bernoulli map codes has better performance in terms of peak sidelobe level (PSL), integral sidelobe ratio (ISL), noise suppression (NS), and signal-to-noise ratio (SNR). Experimental tests were performed using a vertical ionosonde in Yinchuan, Ningxia Hui Autonomous Region, China, and the ionosonde was operated by alternating 40-bit Barker-like coding and 40-bit Bernoulli map coding each day to compare the effectiveness of interference suppression. The results showed that using Bernoulli map coding could remove interference and improve SNR significantly, thereby improving the data quality of the resulting ionograms.

Funder

National Development and Reform Commission

Natural Science Foundation of Hainan Province

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Link

https://www.mdpi.com/2072-4292/15/15/3747/pdf

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