Performance Bound for Joint Multiple Parameter Target Estimation in Sparse Stepped-Frequency Radar: A Comparison Analysis
A performance bound—Cramér-Rao lower bound (CRLB) for target estimation and detection in sparse stepped frequency radars is presented. The vector formulation of this CRLB is used to obtain a lower bound on the estimation error. The estimation performance can be transformed into di...
Main Authors: | Qiushi Chen, Xin Zhang, Qiang Yang, Lei Ye, Mengxiao Zhao |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-04-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/19/9/2002 |
Similar Items
-
Sparse Bayesian Learning-Based Target Imaging and Parameter Estimation for Monostatic MIMO Radar Systems
by: Amrita Mishra, et al.
Published: (2018-01-01) -
Cramér-Rao Lower Bound of Target Localization Method Based on TOA Measurements
Published: (2019-10-01) -
Accurate Sinusoidal Frequency Estimation Algorithm for Internet of Things Based on Phase Angle Interpolation Using Frequency Shift
by: Minglong Cheng, et al.
Published: (2022-06-01) -
Cramér–Rao Bounds for DoA Estimation of Sparse Bayesian Learning with the Laplace Prior
by: Hua Bai, et al.
Published: (2022-12-01) -
Blind SNR estimation based on cyclostationarity
by: HUA Meng, et al.
Published: (2006-01-01)