Work

Efficient Protocol to Discriminate Multiple Ballistic Targets

Year: 2025

Type: article

Abstract: In this paper, we propose a novel protocol for discriminating multiple ballistic targets during the midcourse and terminal phases of their trajectories. The midcourse-phase protocol includes the following steps: 1) estimating the number of targets, 2) separating the trajectories, and 3) performing discrimination using either a convolutional neural network (CNN) or a nearest-neighbor classifier. The terminal-phase protocol performs discrimination using trajectory information or a CNN. Simulations that consider radar signals calculated using physical optics, indicate that the proposed protocol effectively discriminates between warheads and decoys in scenarios that involve multiple targets.

Source: IEEE Access

DOI: 10.1109/access.2025.3584058

Authors: Min Kim, Sewon Yoon, Inoh Choi, Jooho Jung, Sanghong Park

Institutions: Korea Institute of Ocean Science and Technology, Pukyong National University, Konkuk University

Language: English

Topic: Radar Systems and Signal Processing

Subfield: Aerospace Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $2,075

Funders: National Research Foundation of Korea, Ministry of Science and ICT, South Korea