This article deals with the joint design of slow-time code and space-time receive filters for nonuniform pulse interval airborne radar, aiming to enhance the detection capability against partially overlapping clutter components while tracking multitarget. Two design strategies for transceivers optimization are introduced, contingent upon the knowledge of the relative importance among targets. An iterative procedure is developed for both the average signal-to-interference-noise ratio (SINR) and the worst-case SINR design problems, ensuring that the corresponding SINR monotonically increases and converges to a finite value.As to the average design, each iteration of the proposed algorithm involves the generalized Rayleigh quotient used for the space-time receive filters design, and a nested iterative technique incorporating quadratic transform (QT) procedure with an alternating direction method of multipliers (ADMM) to optimize the radar code. For the worst-case design, a proximal ADMM is proposed as a direct replacement for the ADMM in the average design paradigm. Numerical simulations demonstrate that the proposed algorithms outperform State-of-the-Art methods in terms of the SINR behavior and computational efficiency.
Airborne Radar Multitarget Detection for Tracking in Clutter Using Nonuniform Pulse Interval Transceivers Design
IEEE Transactions on Aerospace and Electronic Systems ; 61 , 2 ; 2198-2212
2025-04-01
3232069 byte
Article (Journal)
Electronic Resource
English
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