Minimum detection velocity performance analysis for air moving target detection in a spaceborne surveillance radar system

Author:

Ma Jingtao123ORCID,Wang Lingyu4ORCID,Huang Penghui4,Liao Guisheng5,Zhang Xuepan5

Affiliation:

1. Innovation Academy for Microsatellites of CAS Shanghai China

2. University of Chinese Academy of Sciences Beijing China

3. Shanghai Engineering Center for Microsatellites Shanghai China

4. School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai China

5. Hangzhou Institute of Technology Xidian University Hangzhou China

Abstract

AbstractDue to the advantages of wide coverage, continuous remote monitoring, and high measurement accuracy, the spaceborne multi‐channel surveillance radar has been widely used for the air moving target detection and tracking. In this paper, the minimum detection velocity (MDV) definition for the aerial target detection performance evaluation in a spaceborne multi‐channel radar system is analysed, where three kinds of MDV definitions based on empirical formula, output signal‐to‐clutter‐plus‐noise ratio (SCNR) loss criterion, and output SCNR criterion are discussed in detail based on theoretical analysis and simulation verification. The analysis results will provide valuable reference for the practical spaceborne radar system designment with the air target detection mode.

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering

Reference10 articles.

1. A novel dimension‐reduced space–time adaptive processing algorithm for spaceborne multichannel surveillance radar systems based on spatial–temporal 2‐D sliding window;Huang P.H.;IEEE Trans. Geosci. Remote Sens.,2022

2. Theory of Adaptive Radar

3. Airborne early warning radar

4. Davis M.E. et al.:Design of large space based radar for multimode surveillance. In: Proceedings of IEEE Radar Conference Huntsville AL USA pp.1–6(2003)

5. Reduced degrees of freedom in space‐time adaptive processing for space‐based early warning radar;Duan K.Q.;J. Radars,2022

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