Journal ArticleDOI
ISAR Imaging of Nonuniformly Rotating Target Based on the Multicomponent CPS Model Under Low SNR Environment
TLDR
A novel ISAR imaging algorithm for nonuniformly rotating targets in the low SNR environment based on the parameter estimation approach is presented and several numerical examples, analyses of the noise tolerance performance for the proposed approaches, andISAR imaging results demonstrate the superior performance of the proposed method.Abstract:
The inverse synthetic aperture radar (ISAR) imaging for nonuniformly rotating target has always been a challenging task due to the time-varying Doppler parameter, especially in the low signal-to-noise ratio (SNR) environment. In this paper, a novel ISAR imaging algorithm for nonuniformly rotating targets in the low SNR environment based on the parameter estimation approach is presented. First, the received signal in this work in a range bin is modeled as a multicomponent cubic phase signal (CPS) after motion compensation. Two approaches, namely coherently integrated modified cubic phase function (CIMCPF) and coherently integrated modified high-order ambiguous function (CIMHAF), are proposed to, respectively, estimate the second-order and the third-order coefficients in the CPS. Thanks to the coherent integrations developed in both CIMCPF and CIMHAF, they demonstrate excellent low SNR performance. Moreover, to efficiently implement the proposed approach, the nonuniform fast Fourier transform (NUFFT) is utilized in this work. Due to the usage of the NUFFT, the computational cost is reduced, and the search procedure also dispenses with the nonuniformly spaced signal. Finally, CIMCPF and CIMHAF are applied to produce ISAR image for a maneuvering target based on the CPS model. Several numerical examples, analyses of the noise tolerance performance for the proposed approaches, and ISAR imaging results demonstrate the superior performance of the proposed method.read more
Citations
More filters
Journal ArticleDOI
Super-Resolution Sparse Aperture ISAR Imaging of Maneuvering Target via the RELAX Algorithm
Yong Wang,Qiuchen Liu +1 more
TL;DR: It is validated that the presented SA-ISAR imaging algorithm with the RELAX technique can be efficiently utilized to obtain super-resolution images of maneuvering target.
Journal ArticleDOI
A Fast Eigenvector-Based Autofocus Method for Sparse Aperture ISAR Sensors Imaging of Moving Target
Qiuchen Liu,Yong Wang +1 more
TL;DR: The novel autofocus method uses the Lanczos or Arnoldi iteration to compute only the desired eigenvector instead of directly doing time-consuming eigen-decomposition to the sample covariance matrix and the computational complexity can be greatly reduced.
Journal ArticleDOI
A Super-Resolution Sparse Aperture ISAR Sensors Imaging Algorithm via the MUSIC Technique
TL;DR: A super-resolution SA inverse synthetic aperture radar (SA-ISAR) imaging algorithm via the multiple signal classification (MUSIC) technique is proposed in this paper and can efficiently generate super- resolution images with full aperture (FA) or SA data.
Journal ArticleDOI
Inverse Synthetic Aperture Radar Imaging: A Historical Perspective and State-of-the-Art Survey
Risto Vehmas,Nadav Neuberger +1 more
TL;DR: Inverse synthetic aperture radar (ISAR) is an imaging technique that uses the motion of a target to obtain a high-resolution radar image of it as mentioned in this paper, which can obtain increasingly better position estimation accuracy, detection sensitivity, and target resolution.
Journal ArticleDOI
ISAR Imaging of a Maneuvering Target Based on Parameter Estimation of Multicomponent Cubic Phase Signals
TL;DR: In this article , a novel inverse synthetic aperture radar (ISAR) imaging algorithm for a maneuvering target with moderate reflection intensity is proposed, in which the radar echo signal in a range cell is modeled as a multicomponent cubic phase signal (CPS), and the received CPSs are transformed into the time and lag-time plane, and then a 2D coherent integration can be realized after the generalized time-scaled transform and 1-D maximization.
References
More filters
Journal ArticleDOI
Improved time-frequency representation of multicomponent signals using exponential kernels
H.-I. Choi,William J. Williams +1 more
TL;DR: In this article, a time-frequency distribution of L. Cohen's (1966) class is introduced, which is called exponential distribution (ED) after its exponential kernel function, and the authors interpret the ED from the spectral density-estimation point of view.
Journal ArticleDOI
Joint time-frequency transform for radar range-Doppler imaging
Victor C. Chen,Shie Qian +1 more
TL;DR: In this article, a joint time-frequency transform (TFT) was proposed for radar imaging of single and multiple targets with complex motion, where the Doppler spectrum becomes smeared and the image is blurred.
Journal ArticleDOI
Radon transformation of time-frequency distributions for analysis of multicomponent signals
John C. Wood,D.T. Barry +1 more
TL;DR: It is shown here that the frequency dual to dechirping exists, so that all of the time-frequency plane projections can be calculated efficiently and derive the discrete-time equations for both time and frequency de chirping.
Journal ArticleDOI
An accurate algorithm for nonuniform fast Fourier transforms (NUFFT's)
Qing Huo Liu,N. Nguyen +1 more
TL;DR: Based on the (m, N, q)-regular Fourier matrix, a new algorithm is proposed for fast Fourier transform (FFT) of nonuniform (unequally spaced) data with accuracy much better than previously reported results with the same computation complexity.
Journal ArticleDOI
Global range alignment for ISAR
Junfeng Wang,D. Kasilingam +1 more
TL;DR: A new technique is developed for range alignment in inverse synthetic aperture radar (ISAR) imaging where the shifts made to the echoes are modeled as a polynomial, and the coefficients are chosen to optimize a global quality measure of range alignment.