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...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	IET radar, sonar & navigation Ročník 14; číslo 6; s. 917 - 926
Hlavní autoři:	Wang, Cheng, Li, Zheng, Zhang, Xiaofei
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	The Institution of Engineering and Technology 01.06.2020
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Popis
Shrnutí:	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