High-Performance GLR Detector for Moving Target Detection in OFDM Radar-Based Vehicular Networks

Kafshgari, Shaghayegh; Mohseni, Reza Moosavi; Samadi, Sadegh; Khosravi, Mohammad R.

doi:10.1007/s11277-019-06427-6

Cited by 5 publications

(2 citation statements)

References 33 publications

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“…In this section, a novel optimal method for designing an OFDM signal for low-angle target tracking is described in such a way that the volume of the corresponding WAF best approximates the volume of a desired ambiguity function. The problem of analyzing the waveform to meet the desired ambiguity function has been explored in various references [33][34][35][36][37][38][39][40][41][42][43][44][45]. In [34] and [35], the Least Square (LS) method was used to solve this problem.…”

Section: Waveform Designmentioning

confidence: 99%

Optimizing the OFDM Radar Waveform for Low-Angle Target Tracking Using WAF Criteria

Asadsangabi,

Mohseni,

Samadi

2024

Preprint

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A novel algorithm is proposed to enhance the wideband ambiguity function (WAF) of radar by designing an orthogonal frequency division multiplexing (OFDM) waveform. This design improves signal resolution, leading to more accurate tracking of low-angle targets. The goal is to optimize the volume of the OFDM signal's WAF to approximate the desired ambiguity function volume in the delay-Doppler plane. This optimized waveform improves the delay (range) resolution of the radar system by enhancing the auto-correlation function (ACF). Additionally, using a multicarrier OFDM signal improves delay resolution by the number of subcarriers. The phase and amplitude coding technique further improves delay and Doppler. It is important to note that the waveform design considers various factors that affect low-angle target tracking, such as atmospheric attenuation, surface reflection, diffraction, and refraction. Theoretical expressions for each area, along with tabular and graphical results applicable to common radar frequencies and radar-target paths, are provided. When modeling specular multipath signals, the effects of the earth's curvature and the linear refractivity gradient of the horizontally stratified atmosphere are also taken into account. The methodology used is the LSE method utilized in designing the waveform. The main results obtained demonstrate enhancements not only in the Doppler and delay ambiguity function, but also in angle measurement and RMSE. Finally, our work demonstrates improved performance when compared with the articles.

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Section: Waveform Designmentioning

confidence: 99%

Optimizing the OFDM Radar Waveform for Low-Angle Target Tracking Using WAF Criteria

Asadsangabi,

Mohseni,

Samadi

2024

Preprint

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“…The proposed technique can be used for lossless payload aggregation in an IoT-enabled ViSAR sensor networks ( Fig. 1), since radar networks have been nowadays a hot topic of research [21][22][23]. In addition, our finding may be useful in other visual data and sensory systems [24][25][26].…”

Section: Introductionmentioning

confidence: 99%

Efficient payload communications for IoT-enabled ViSAR vehicles using discrete cosine transform-based quasi-sparse bit injection

Khosravi

Samadi

2019

J Wireless Com Network

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High-performance remote sensing payload communication is a vital problem in airborne and space-borne surveillance systems. Among different remote sensing imaging systems, video synthetic aperture radar (ViSAR) is a new technology with lots of principal and managerial data which should be compressed, aggregated, and communicated from a radar platform (or a network of radars) to a ground station through wireless links. In this paper, a new data aggregation technique is proposed towards efficient payload transmission in a network of aerial ViSAR vehicles. Our proposed method is a combination of a recent interpolation-based data hiding (IBDH) technique and visual data transformation process using discrete cosine transform (DCT) which is able to outperform the reference method in terms of data aggregation ability.

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Spectrum sensing with standart and demmel condition number under Gaussian approach

Ilgin

2022

Telecommun Syst

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High-Performance GLR Detector for Moving Target Detection in OFDM Radar-Based Vehicular Networks

Cited by 5 publications

References 33 publications

Optimizing the OFDM Radar Waveform for Low-Angle Target Tracking Using WAF Criteria

Optimizing the OFDM Radar Waveform for Low-Angle Target Tracking Using WAF Criteria

Efficient payload communications for IoT-enabled ViSAR vehicles using discrete cosine transform-based quasi-sparse bit injection

Spectrum sensing with standart and demmel condition number under Gaussian approach

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