Enhanced monopulse tracking radar using optimum fractional Fourier transform

Srivastava

2015

Multimed Tools Appl

Moving object tracking is one of the challenging problems in computer vision and it has numerous applications in surveillance system, traffic monitoring etc. The goal of object tracking algorithm is to locate a moving object in consecutive video frames. Tracking of moving object in a video becomes difficult due to random motion of objects. This paper introduces a new algorithm for moving object tracking by exploiting the properties of Daubechies complex wavelet transform and Zernike moment. The proposed method uses combination of Daubechies complex wavelet transform and Zernike moment as a feature of object. The motivation behind using combination of these two as a feature of object, because shift invariance and better edge representation property make Daubechies complex wavelet transform suitable for locating object in consecutive frames whereas rotation invariance properties of Zernike moment is also helpful for correct object identification in consecutive frames. Therefore combination of these two as feature of object gives better results. The proposed method matches Zernike moments of Daubechies complex wavelet coefficients of object in the first frame to next consecutive frames. The experimental results and performance evaluation parameters validate that the proposed method gives better performance against other state-of-the-art methods.

Section: Literature Reviewmentioning

confidence: 99%

mentioning

confidence: 99%

Object tracking using combination of daubechies complex wavelet transform and Zernike moment

Srivastava

2015

Multimed Tools Appl

IET Radar, Sonar & Navigation

“…where 'const' means the constant value because of the scaling coefficient in (19). When the time series of sea clutter in FRFT domain Y p is considered as 'random walk' process, which should be satisfied with (20), the process under investigation is said to be a fractal process.…”

Section: Statistical Characteristic Of Sea Clutter In Frft Domainmentioning

confidence: 99%

Detection of low observable moving target in sea clutter via fractal characteristics in fractional Fourier transform domain

Chen

Guan

et al. 2013

Effective detection of low observable moving target at sea is important for remote sensing and radar signal processing. The non-Gaussian property of sea clutter and lack of accurate model make the detection difficult for statistics based detectors. Also the fractal techniques in time domain cannot achieve high detection probability in heavy sea clutter. To help solve the problems, fractal characteristics of IPIX datasets in fractional Fourier transform (FRFT) domain are analysed making use of the fluctuation of FRFT amplitudes and moving target detection algorithms are proposed based on the fractal characteristics in FRFT domain. Firstly, fractal model in FRFT domain is established with fractional Brownian motion model and two judgment and extraction methods are employed for calculating the fractal characteristics in FRFT domain. It is found that sea clutter of different polarisations exhibit fractal behaviours in FRFT domain, that is, self-similarity property, within its corresponding scale-invariant interval. Then, we find that four specific fractal statistics in the best FRFT domain can provide valuable information for developing simple and effective detectors. Finally, traditional amplitude detector and Hurst exponent detector in time domain are compared and the results prove the superior detection ability of low observable moving target without complex computations.

2014 12th International Conference on Signal Processing (ICSP)

“…Monopulse tracking radar applies four beams generated simultaneously and can extract the angle error information of target. Compared with conical scan and sequential lobing radars, monopulse system is not susceptible to amplitude modulation jamming and variations of target echoes [4]- [6] .…”

Section: Introductionmentioning

confidence: 99%

A high performance system-on-chip architecture for digital wideband radar receiver

Pang

Zhao

Luo

2014

A system-on-chip (SoC) architecture employed in the digital receiver for monopulse tracking radar applications applying linear frequency modulation (LFM) signals is proposed. The signal processing flow will then be decomposed into several time-division stages, and the corresponding system function will be achieved with software or hardware implementation way respectively. Thereafter, an optimized SoC architecture for digital receiver is illustrated, and the prototype structure in field programmable gate array (FPGA) is designed so that all the processing modules can be integrated in single FPGA chip. Finally, the experimental results prove the validity and engineering applicability of the proposed architecture.