Detection and parameter estimation of multicomponent LFM signal based on the fractional Fourier transform

Qi, Lin; Tao, Ran; Zhou, Siwang; Wang, Yue

doi:10.1360/02yf0456

Cited by 209 publications

(97 citation statements)

References 15 publications

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“…In order to simulate complete model for monostatic pulse radar,the environment conditionssuch as ground clutter [12] (log normal distribution) and noise such as the AWGN areconsidered. Becausethe coherent detection requires phase informationand more computationally expensive,in our design of the pulsed radar system we will use a non-coherent detection scheme [13], [14]. Table 1.…”

Section: Theoretical Analysis and Modellingmentioning

confidence: 99%

A New Approach for Target Detection Performance Enhancement Under Clutter Effect

Almslmany¹,

Cao²,

Wang³

2015

Proceedings of the International Conference on Computer Information Systems and Industrial Applications

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Abstract-This paper discusses a new approach for target detection performance improvement in monostatic pulsed radar in presence of clutter based on Time Varying Gain Amplifier (TVGA). This new approach is used to compensate for power loss due to range in the received echo, which increases the input dynamic range and the sensitivity of the radar receiver. A constant threshold is selected for detection across the entire detectable range. The new approach is achieved by time controlling the received power, which enhances the detection performance in the presence of ground clutter and jamming effect, the simulation of a complete monostatic pulsed radar is considered with the environmental effect. The results shows thatafter applying the TVGA the signal can be detected effectively with a fixed threshold and gives more sensitivity and a wide dynamic range.

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Section: Theoretical Analysis and Modellingmentioning

confidence: 99%

A New Approach for Target Detection Performance Enhancement Under Clutter Effect

Almslmany¹,

Cao²,

Wang³

2015

Proceedings of the International Conference on Computer Information Systems and Industrial Applications

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show abstract

“…Application of FrFT-based algorithms to the problem of estimating chirp parameters achieves good performance [13]. In the FrFT domains, there is an optimum transform angle associated with the chirp rate, which concentrates the energy and keeps the signal compact.…”

Section: Introductionmentioning

confidence: 99%

A fast and accurate chirp rate estimation algorithm based on the fractional Fourier transform

Serbes

Aldimashki

2017

2017 25th European Signal Processing Conference (EUSIPCO)

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Abstract-In this work, a fast and accurate chirp-rate estimation algorithm is presented. The algorithm is based on the fractional Fourier transform. It is shown that utilization of the golden section search algorithm to find the maximum magnitude of the fractional Fourier transform domains not only accelerates the process, but also increases the accuracy in a noisy environment. Simulation results validate the proposed algorithm and show that the accuracy of parameter estimation nearly achieves the Cramer-Rao lower bound for SNR values as low as −7dB.

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“…We know that the Fourier transform [1][2][3][4][5][6] , is to some functions as trigonometric series [7][8][9] only sine or cosine function, or their linear combination of the integral. Once said became a trigonometric series, the function to have a lot of research on the problem of benefit, bring great convenience.…”

Section: Introductionmentioning

confidence: 99%

“…This makes sense, because any periodic function [10][11] can use sine and cosine function form of infinite series. In different fields of study, a variation of the Fourier transform has many different forms [1][2][3][4][5][6] , such as continuous Fourier transform and discrete Fourier transform [12] . Initial Fourier analysis is a tool for as analytical analysis of thermal process was proposed.…”

Section: Introductionmentioning

confidence: 99%

Fourier Transform in the Application Science

Zeng¹

2017

dtssehs

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Abstract.Only sine or cosine trigonometric series have a wide range of applications in the natural sciences, the Fourier transform is to convert some functions to sine or cosine trigonometric series, Fourier series bring great convenience to our study, because the function convert only sine or cosine trigonometric series, the trigonometric series have good properties, it making the problem research is of great convenience. This article is how to transform the function into Fourier series only a sine or cosine trigonometric series, Fourier series.

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Detection and parameter estimation of multicomponent LFM signal based on the fractional Fourier transform

Cited by 209 publications

References 15 publications

A New Approach for Target Detection Performance Enhancement Under Clutter Effect

A New Approach for Target Detection Performance Enhancement Under Clutter Effect

A fast and accurate chirp rate estimation algorithm based on the fractional Fourier transform

Fourier Transform in the Application Science

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