FDA-MIMO for joint angle and range estimation: unfolded coprime framework and parameter estimation algorithm

The frequency diverse array multiple-input multiple-output (FDA-MIMO) radar provides range estimation capability by exploiting a small frequency offset across the transmit sensors, which has been utilised in numerous applications. However, the estimation performance is basically limited by the array...

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Bibliographic Details
Published in:IET radar, sonar & navigation Vol. 14; no. 6; pp. 917 - 926
Main Authors: Wang, Cheng, Li, Zheng, Zhang, Xiaofei
Format: Journal Article
Language:English
Published: The Institution of Engineering and Technology 01.06.2020
Subjects:
2D total spectrum search
antenna arrays
array aperture
array geometry
array signal processing
computational complexity
direction‐of‐arrival estimation
enhanced estimation accuracy
estimation performance
FDA‐MIMO framework
frequency diverse array multiple‐input multiple‐output
joint angle
MIMO communication
MIMO radar
parameter estimation
parameter estimation algorithm
radar signal processing
range estimation capability
range estimation problem
Research Article
signal bandwidth
signal classification
successive iteration algorithm
SUIT algorithm
UCA‐UCFO framework
unfolded coprime array
unfolded coprime framework
unfolded coprime frequency offsets
unfolded coprime framework
parameter estimation algorithm
FDA-MIMO framework
direction-of-arrival estimation
radar signal processing
MIMO radar
antenna arrays
parameter estimation
unfolded coprime array
MIMO communication
range estimation capability
UCA-UCFO framework
array signal processing
signal bandwidth
2D total spectrum search
range estimation problem
SUIT algorithm
joint angle
unfolded coprime frequency offsets
estimation performance
array geometry
signal classification
frequency diverse array multiple-input multiple-output
enhanced estimation accuracy
successive iteration algorithm
array aperture
computational complexity
ISSN:1751-8784, 1751-8792
Online Access:Get full text
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Summary:The frequency diverse array multiple-input multiple-output (FDA-MIMO) radar provides range estimation capability by exploiting a small frequency offset across the transmit sensors, which has been utilised in numerous applications. However, the estimation performance is basically limited by the array geometry and signal bandwidth. In this study, the authors propose a new FDA-MIMO framework, i.e. the unfolded coprime array with ‘unfolded’ coprime frequency offsets (UCA-UCFO) framework, for joint angle and range estimation without ambiguity. The array aperture and signal bandwidth are obviously expanded by employing UCA in the spatial domain and frequency domain, which results in significantly enhanced estimation accuracy and resolution. In addition, we construct the joint angle and range estimation problem as a two-dimensional (2D)-multiple signal classification spatial spectrum and transform 2D total spectrum search into a 1D local spectrum search by introducing a successive iteration (SUIT) algorithm. The SUIT algorithm can significantly relieve the computational burden but without performance degradation. The Cramér–Rao bounds of angle and range are provided as a performance benchmark. The analysis and simulations have validated the superiority and advantages of the UCA-UCFO framework and SUIT algorithm with respect to location accuracy, resolution, and computational complexity.
ISSN:1751-8784
1751-8792
DOI:10.1049/iet-rsn.2019.0479