Paper Info
Title
Joint Design of Transmitting Waveforms and Receiving Filter for MIMO-STAP Airborne Radar
Abstract
This paper addresses the joint design problems of transmitting waveforms and receiving filter for multiple-input multiple-output airborne radar, which employs space-time adaptive processing technique to detect target embedded in strong clutter. The joint optimization problems aim to maximize the output signal to clutter plus noise ratio (SCNR) of receiver, with the probing waveforms constrained by different constraints, i.e., energy constraint, constant modulus constraint and similarity constraint. Different from the existing cyclic algorithms, we first convert the joint optimization problem into an equivalent waveform optimization problem and iteratively find the optimal waveform based on minorization–maximization technique. The optimal filter is directly obtained according to the waveform optimization result. For each proposed algorithm, the output SCNR monotonically increases during iteration and finally converges to a stable value. Comparing with the existing algorithms, proposed algorithms require fewer iterations and lower computational complexities, while higher SCNRs can be obtained. Such improvement can be confirmed by comprehensive simulations. In addition, the effectiveness of designed waveform-filter pair to suppress clutter is also verified by spatial–temporal beampattern.
Year
DOI
Venue
2020
10.1007/s00034-019-01215-w
Circuits, Systems, and Signal Processing
Keywords
DocType
Volume
MIMO airborne radar, STAP, Minorization–maximization, Waveform/filter design, SCNR
Journal
39
Issue
ISSN
Citations 
3
0278-081X
1
PageRank 
References 
Authors
0.35
0
3
Name
Order
Citations
PageRank
Shengnan Shi1173.60
Zishu He243.43
Zhaoyi Wang321.04