Cramér-Rao Bound of Joint DOA-Range Estimation for Coprime Frequency Diverse Arrays

Frequency diverse array (FDA) produces a beampattern with controllable direction and range by slightly shifting the carrier frequencies across the elements, which is attractive in many applications. By further incorporating coprime array structure and coprime frequency offsets, improved degrees-of-f...

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Main Authors: Zihuan Mao, Shengheng Liu, Si Qin, Yongming Huang
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/14/3/583
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author Zihuan Mao
Shengheng Liu
Si Qin
Yongming Huang
author_facet Zihuan Mao
Shengheng Liu
Si Qin
Yongming Huang
author_sort Zihuan Mao
collection DOAJ
description Frequency diverse array (FDA) produces a beampattern with controllable direction and range by slightly shifting the carrier frequencies across the elements, which is attractive in many applications. By further incorporating coprime array structure and coprime frequency offsets, improved degrees-of-freedom and spatial/range resolutions have been achieved. For such a relatively new array configuration, theoretical performance analyses are essential to explore the potentials and to facilitate practical implementation. In this work, we consider coprime-FDA-based joint/separate angle-range estimation of far-field targets that exhibit two different types of Swerling fluctuation behavior, which are respectively modelled as deterministic and stochastic sources. Analytical expressions of the Cramér–Rao bounds (CRB) and numerical simulations for both cases are provided. The results reveal that the relationship between CRB and coprime FDA parameters is not simply monotonic. As shown in the numerical simulations, the CRB of coprime FDA outperforms that of uniform FDA-MIMO for more than <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>60</mn><mo>%</mo></mrow></semantics></math></inline-formula> under commonly-adopted coprime patterns. The presented results can be used as a guideline for optimal design of coprime FDA.
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spelling doaj.art-15f8ea25b3104a6eadd09b9524003e9c2023-11-23T17:40:07ZengMDPI AGRemote Sensing2072-42922022-01-0114358310.3390/rs14030583Cramér-Rao Bound of Joint DOA-Range Estimation for Coprime Frequency Diverse ArraysZihuan Mao0Shengheng Liu1Si Qin2Yongming Huang3School of Information Science and Engineering, Southeast University, Nanjing 210096, ChinaSchool of Information Science and Engineering, Southeast University, Nanjing 210096, ChinaMicrosoft Research Asia, Beijing 100080, ChinaSchool of Information Science and Engineering, Southeast University, Nanjing 210096, ChinaFrequency diverse array (FDA) produces a beampattern with controllable direction and range by slightly shifting the carrier frequencies across the elements, which is attractive in many applications. By further incorporating coprime array structure and coprime frequency offsets, improved degrees-of-freedom and spatial/range resolutions have been achieved. For such a relatively new array configuration, theoretical performance analyses are essential to explore the potentials and to facilitate practical implementation. In this work, we consider coprime-FDA-based joint/separate angle-range estimation of far-field targets that exhibit two different types of Swerling fluctuation behavior, which are respectively modelled as deterministic and stochastic sources. Analytical expressions of the Cramér–Rao bounds (CRB) and numerical simulations for both cases are provided. The results reveal that the relationship between CRB and coprime FDA parameters is not simply monotonic. As shown in the numerical simulations, the CRB of coprime FDA outperforms that of uniform FDA-MIMO for more than <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>60</mn><mo>%</mo></mrow></semantics></math></inline-formula> under commonly-adopted coprime patterns. The presented results can be used as a guideline for optimal design of coprime FDA.https://www.mdpi.com/2072-4292/14/3/583Cramér–Rao bound (CRB)direction of arrival (DOA)parameter estimationcoprime arrayfrequency diverse array (FDA)
spellingShingle Zihuan Mao
Shengheng Liu
Si Qin
Yongming Huang
Cramér-Rao Bound of Joint DOA-Range Estimation for Coprime Frequency Diverse Arrays
Remote Sensing
Cramér–Rao bound (CRB)
direction of arrival (DOA)
parameter estimation
coprime array
frequency diverse array (FDA)
title Cramér-Rao Bound of Joint DOA-Range Estimation for Coprime Frequency Diverse Arrays
title_full Cramér-Rao Bound of Joint DOA-Range Estimation for Coprime Frequency Diverse Arrays
title_fullStr Cramér-Rao Bound of Joint DOA-Range Estimation for Coprime Frequency Diverse Arrays
title_full_unstemmed Cramér-Rao Bound of Joint DOA-Range Estimation for Coprime Frequency Diverse Arrays
title_short Cramér-Rao Bound of Joint DOA-Range Estimation for Coprime Frequency Diverse Arrays
title_sort cramer rao bound of joint doa range estimation for coprime frequency diverse arrays
topic Cramér–Rao bound (CRB)
direction of arrival (DOA)
parameter estimation
coprime array
frequency diverse array (FDA)
url https://www.mdpi.com/2072-4292/14/3/583
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AT siqin cramerraoboundofjointdoarangeestimationforcoprimefrequencydiversearrays
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