Search Optimization for Minimum Load under Detection Performance Constraints in Multifunction Radars

TL;DR

This paper introduces a semi-analytic method to optimize search parameters in multifunction radars, minimizing load while maintaining detection probabilities, validated through theoretical and numerical analysis.

Contribution

It proposes a novel scalar optimization approach converting a nonlinear problem into a simpler form for radar search parameter tuning.

Findings

Effective reduction of search load while maintaining detection performance

Validation through theoretical analysis and numerical case studies

Demonstrated applicability to multifunction phased array radars

Abstract

This paper presents a solution procedure of search parameter optimization for minimum load ensuring desired one-off and cumulative probabilities of detection in a multifunction phased array radar. The key approach is to convert this nonlinear optimization on four search parameters into a scalar optimization on signal-to-noise ratio by a semi-analytic process based on subproblem decomposition. The efficacy of the proposed solution approach is verified with theoretical analysis and numerical case studies.