Motion-parameter estimation for precession-with-nutation space targets based on wideband radar measurements

Hong, Ling; Dai, Fengzhou; Liu, Hongwei

doi:10.1109/taes.2015.140798

Cited by 18 publications

(13 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For example, [14] exhaustively estimates the parameters from the 2D JTF image using the coherent single-range Doppler interferometry, resulting in a computation time of 56.966 seconds. This leads us to conclude that the proposed method is computationally more efficient compared with the signal decomposition based on the image processing procedure in [9][10][11][12][13][14]. Fig.…”

Section: Simulation Resultsmentioning

confidence: 67%

“…5). However, the existing methods in [9][10][11][12][13][14] require exhaustive searching steps for signal decomposition based on the image processing procedure. For example, [14] exhaustively estimates the parameters from the 2D JTF image using the coherent single-range Doppler interferometry, resulting in a computation time of 56.966 seconds.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…To solve this problem, many studies have been carried out on parameter estimation based on two trajectories: the high-reolution range profile (HRRP) trajectory in [9][10][11][12] and the MD frequency trajectory in [13,14]. Parameter estimation can be achieved using HRRP trajectories for the multiple scatterers of a ballistic warhead with micromotion.…”

Section: Introductionmentioning

confidence: 99%

“…Luo et al [11] proposed the parameter estimation framework using HRRP trajectories in distributed radar networks. Hong et al [12] developed a factorizationbased approach with sparse representation. However, the conventional methods in [9][10][11][12] require a large bandwidth to obtain HRRP trajectories from a high-quality two-dimensional (2D) range-time map, leading to inefficiency in terms of radar resources.…”

Section: Introductionmentioning

confidence: 99%

“…Hong et al [12] developed a factorizationbased approach with sparse representation. However, the conventional methods in [9][10][11][12] require a large bandwidth to obtain HRRP trajectories from a high-quality two-dimensional (2D) range-time map, leading to inefficiency in terms of radar resources. Alternatively, the MD frequency trajectories can be utilized to estimate the parameters for a ballistic warhead with micromotion despite the small bandwidth.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Novel Parameter Estimation Method for a Ballistic Warhead with Micromotion

Choi

Jung

Kim

et al. 2020

J Electromagn Eng Sci

View full text Add to dashboard Cite

This paper proposes a novel method to estimate the parameters of a ballistic warhead with micromotion. First, the independent component analysis decomposes the echo signals received from the ballistic warhead into individual signals corresponding to each scatterer. Second, the one-dimensional micro-Doppler frequency trajectories are extracted from two-dimensional joint time-frequency images of decomposed individual signals. Finally, the adaptive particle swarm optimization is used to estimate the parameters that best match the mathematical model composed of unknown parameters to the one-dimensional micro-Doppler frequency trajectories. In simulations using a conical warhead model, the parameters for a ballistic warhead with micromotion are accurately estimated.

show abstract

Section: Simulation Resultsmentioning

confidence: 67%

Section: Simulation Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Novel Parameter Estimation Method for a Ballistic Warhead with Micromotion

Choi

Jung

Kim

et al. 2020

J Electromagn Eng Sci

View full text Add to dashboard Cite

show abstract

Micro Doppler Reconstruction From Discontinuous Observations Based on Gapped SBL-FBTVAR Method for Spin Stabilized Object

2019

View full text Add to dashboard Cite

Three-Dimensional Absolute Attitude Reconstruction of a Rigid Body Based on Multi-Station HRRP Sequences

Dai

Liu

et al. 2020

IEEE Access

Self Cite

View full text Add to dashboard Cite

This study proposes a three-dimensional (3-D) absolute attitude reconstruction algorithm of a rigid body target based on multi-station high-resolution range profile (HRRP) sequences. The existing 3-D reconstruction algorithms rely on the target motion form and the reconstructed attitude is inaccurate due to the mismatch of the micro-motion model. In this study, the coordinates of the scattering centers are first calculated from the HRRP sequences of each radar using the factorization method. Then, the multistation data are associated with the reconstructed scattering center coordinates, and the absolute coordinates is estimated by the relationship between the associated radar line-of-sights (LOSs) and the absolute LOSs. The 3-D reconstruction algorithms for the stable scattering centers and the sliding scattering centers are studied. Numerical simulations verify that the proposed algorithm can reconstruct the 3-D absolute attitude of a rigid body target and is not affected by the mismatch of the target micro-motion model. INDEX TERMSAbsolute attitude, reconstruction before association, factorization method, singular value decomposition (SVD) method.

show abstract

Motion-parameter estimation for precession-with-nutation space targets based on wideband radar measurements

Cited by 18 publications

References 16 publications

Novel Parameter Estimation Method for a Ballistic Warhead with Micromotion

Novel Parameter Estimation Method for a Ballistic Warhead with Micromotion

Micro Doppler Reconstruction From Discontinuous Observations Based on Gapped SBL-FBTVAR Method for Spin Stabilized Object

Three-Dimensional Absolute Attitude Reconstruction of a Rigid Body Based on Multi-Station HRRP Sequences

Contact Info

Product

Resources

About