Enhanced performance of secondary surveillance radar system in dense UAV environments using CDMA techniques
Year: 2024
Type: article
Abstract: In future battlefield scenarios, the high density of platforms often leads to multiple responses from existing secondary surveillance radar (SSR) systems, causing collision interference of response signals in the time domain. The frame slotted ALOHA (FSA) algorithm originally used by the system cannot ensure a high identification probability and has a long identification time. In response to these problems, this paper explores the problems of current SSR systems under the urgent need for precise multi‐target identification in dense environments. It investigates how to integrate code division multiple access (CDMA) technology with the ALOHA algorithm to enhance the system's target identification probability. The authors propose an improved workflow and signal transceiver principles for the SSR system and validate the excellent performance of the SSR system in multi‐target identification within dense environments through simulation experiments based on the proposed composite anti‐collision algorithm.
Source: IET Radar Sonar & Navigation
DOI: 10.1049/rsn2.12680
Authors: Haonan Chen, Rui Guo, Zengping Chen
Institution: Sun Yat-sen University
Language: English
Subfield: Aerospace Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,470
Awards: G4457172056, G6969408792
OpenAlex ID: W4405400037
