Paper Info
Title
A clean signal reconstruction approach for coherently combining multiple radars
Abstract
Distributed radars have the potential to combine coherently for achieving a high signal-to-noise ratio (SNR) while maintaining a moderate antenna size. The key to coherently combining multiple radars is obtaining accurate coherent parameters (CPs), which are used to adjust the transmitting/receiving time and phase of each radar. One approach for CP estimation is to transmit orthogonal waveforms. However, ideally, orthogonal waveforms occupying the same frequency band may not be found in practice. Cross-correlation energy leakage exists between non-orthogonal waveforms, which seriously impairs the accurate acquisition of CPs. To solve this problem, we propose a clean signal reconstruction approach for CP estimation. This approach reconstructs clean echoes by gradually stripping out the cross-correlation energy leakage with a reconstruction-elimination-reconstruction framework. And CPs are obtained from these reconstructed clean echoes. Since the majority of cross-correction energy leakages are eliminated, enhanced CP estimation performance can be achieved. Verified simulations are designed for a dual radar scenario. Results show that the proposed approach significantly improves the performance of CP estimation while reducing the SNR requirement for coherently combining multiple radars.
Year
DOI
Venue
2018
10.1186/s13634-018-0569-1
EURASIP Journal on Advances in Signal Processing
Keywords
Field
DocType
Multi-radar coherent combination,Coherent parameters,Clean signal reconstruction,All-pole model
Radar,Computer vision,Leakage (electronics),Frequency band,Computer science,Waveform,Electronic engineering,Artificial intelligence,Signal reconstruction
Journal
Volume
Issue
ISSN
2018
1
1687-6180
Citations 
PageRank 
References 
0
0.34
4
Authors
5
Name
Order
Citations
PageRank
Xinghua Liu17614.84
Zhen-hai Xu223.07
Xiang Liu34113.52
Si-Wei Chen4738.96
ShunPing Xiao59521.88