QML-RANSAC: PPS and FM signals estimation in heavy noise environments

Djurović, Igor

doi:10.1016/j.sigpro.2016.06.022

Cited by 34 publications

(15 citation statements)

References 43 publications

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“…Первым алгоритмом сверхразрешения радиосигналов принято считать метод Кейпона. Наиболее широко известен алгоритм MUSIC (Multiple Signal Classification), основанный на разделении пространства на сигнальное и шумовое подпространства [14][15][16][17][18][19][20][21][22][23]. В основе данных алгоритмов лежит теория оптимальной обработки сигналов на фоне шумов.…”

Section: научные статьи Articlesunclassified

Method for increasing the resolution and accuracy of radar angular measurements based on sequential spatio-temporal processing of received signals

Алешкин¹,

Vladimirov²,

Nevzorov³

et al. 2020

ICS

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Introduction: Increasing requirements for the location accuracy of radar stations, along with the minimization of their structural changes, necessitates the use of special mathematical algorithms for digital signal processing. The use of such algorithms makes it possible to increase the resolution of a radar station up to a superresolution exceeding the Rayleigh resolution, without any constructive modification of the antenna systems. The existing superresolution algorithms require a large computational cost and a long signal accumulation time. Purpose: Obtaining superresolution in the angular coordinates of a linear antenna array due to digital synthesis of longitudinal flat aperture in real time by digital methods. Methods: An amplitude-phase distribution is formed on the elements of a linear lattice of the data array. On this base, a longitudinal flat aperture is synthesized using digital modeling algorithms for “virtual re-emission” of the received signals. Results: Based on the proposed method of synthesizing a linear antenna array aperture in the longitudinal plane, an algorithm was developed for estimating the increase in the angular resolution of the linear antenna array. Computer simulation of the resulting lattice was performed, and its radiation pattern was built. The dependence was analyzed of the angular resolution on the phasing direction and on the synthesis interval when using this method. Quantitative assessments were carried out by the comparison between the obtained angular resolution and a potentially possible one determined by the Rayleigh criterion. The resolution in angular coordinates when using this method increases by 1.5 times. Thus, the proposed method allows you to increase the angular resolution of a radar station without any significant structural changes in the antenna array, using relatively simple algorithms. Practical relevance: The application of this method in radar stations, especially those operating in the short-wave range where increasing the size of the antenna array is a rather difficult task, will improve the radar measurement accuracy.

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Section: научные статьи Articlesunclassified

Method for increasing the resolution and accuracy of radar angular measurements based on sequential spatio-temporal processing of received signals

Алешкин¹,

Vladimirov²,

Nevzorov³

et al. 2020

ICS

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“…The VA IF estimator requires search over all possible paths in the TF plane by minimizing the path penalty function with two criteria, i.e., the IF estimate should pass the TF representation points with a large magnitude, and path variations should be small [14]. Therefore, in this paper, we propose the RANSAC style algorithm to improve the accuracy of the IF estimation [11,12]. As elaborated in [14] and will be clearly seen from the examples, there are a large number of outliers in the IF estimate obtained from Eq.…”

Section: )/[R(t)c] Is Relatively Small Since H(t)/r(t)mentioning

confidence: 99%

“…Therefore, we have to perform multiple random selections and choose the best estimate from the ensembles based on some appropriate criterion. In this paper, we use the RANSAC-based IF (re)estimation, and the developed algorithm is described as follows [11,12]:…”

Section: )/[R(t)c] Is Relatively Small Since H(t)/r(t)mentioning

confidence: 99%

“…A high percentage of the estimated IF entries is corrupted by clutter, noise and other phenomena, and we use the random samples consensus (RANSAC) algorithm [11][12][13] to improve the IF estimate. The STFT and the RANSAC algorithms produce a coarse estimate of the IF of all received components while in the next stage high-resolution estimation of the close signal components is performed.…”

Section: Introductionmentioning

confidence: 99%

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Accurate Parameter Estimation of Over-the-Horizon Radar Signals Using Ransac and Music Algorithms

Djurović¹,

Zhang²

2018

PIER M

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Abstract-Processing over-the-horizon radar (OTHR) signals is challenging due to appearance of several very close components in the time-frequency plane, strong noise and clutter, multipath propagation, and aliasing. We propose a two-stage procedure for estimating multipath signal components from the received mixture. In the first stage, the instantaneous frequency is estimated from the time-frequency representation of the received signal. The random samples consensus algorithm is applied to the instantaneous frequency estimate to improve the robustness of the procedure against various effects in the underlying signals. In the second stage, the MUSIC algorithm is applied to the dechirped and downsampled signal. The effectiveness of the proposed approach is verified using real-life signals.

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“…In order to solve the above problems, this paper proposes an algorithm based on Random Sample Consensus [17][18][19] (RANSAC) to separate rigid body and micro-Doppler information. Clear radar imaging is obtained by using S-transformation.…”

Section: Introductionmentioning

confidence: 99%

Application of S-Transform Random Consistency in Inverse Synthetic Aperture Imaging Laser Radar Imaging

et al. 2019

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Under the same principle, laser radar could be more sensitive to the micro-Doppler (m-D) effect due to its wave length, as the characteristic of multi-resolution, S transform could reduce the influence of the micro-Doppler component and enhance the imaging effect. This paper presents a method for micro-Doppler feature extraction in Inverse Synthetic Aperture Imaging Laser Radar (ISAIL) imaging. It is accessible and comprehensive, applying Random Sample Consensus (RANSAC) for the separation and reconstruction of micro-Doppler and rigid body signals. Experiments show that the method can effectively remove the micro-Doppler information and obtain a clear target distance-instantaneous Doppler image.

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QML-RANSAC: PPS and FM signals estimation in heavy noise environments

Cited by 34 publications

References 43 publications

Method for increasing the resolution and accuracy of radar angular measurements based on sequential spatio-temporal processing of received signals

Method for increasing the resolution and accuracy of radar angular measurements based on sequential spatio-temporal processing of received signals

Accurate Parameter Estimation of Over-the-Horizon Radar Signals Using Ransac and Music Algorithms

Application of S-Transform Random Consistency in Inverse Synthetic Aperture Imaging Laser Radar Imaging

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