Enhance Multiple Moving Target Detection in Doppler-Tolerant Radar Using IRAESC Technique

Aleem, Md.; Singh, Rahul; Ahmad, Syed Jalal

doi:10.1007/978-981-10-8204-7_42

Cited by 3 publications

(4 citation statements)

References 3 publications

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“…The proposed code gives better autocorrelation response when compared with Kasami and Gold codes which are commonly used to reduce side lobes in radar target detection process and are also applicable to static objects only. For moving object detection, the Doppler tolerance of the proposed codes is compared with [17,18]. The proposed approach gives large clear windows when compared with the existing methods.…”

Section: Resultsmentioning

confidence: 99%

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Low noise moving target detection in high resolution radar using binary codes

Alotaibi

2021

EURASIP J. Adv. Signal Process.

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Radar technology plays a vital role in enhancing surveillance of the battlefields and physical borders, disease detection, and weather prediction. However, there exist certain challenges like detecting fast-moving targets. When targets are moving at a significantly high speed, it is not easy to detect them compared to static and slow-moving targets, which are easily detected. In this regard, the research community has, over the years, tried to improve radar technology to detect fast moving targets in presence of Doppler noise. In this paper, various binary codes have been proposed to minimize the noise peaks below the radar threshold limit to create multiple windows that enable precise information of the moving targets. These sequences also have good autocorrelation attributes to get a higher range resolution and compression ratio. Validation of the proposed method is performed using Matlab simulations. Results show that the noise amplitudes are reduced to 0.2 dB well below the prescribed threshold.

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Section: Resultsmentioning

confidence: 99%

“…These codes detect only the static objects. The authors of [17,18] presented two different techniques to improve the Doppler tolerance of moving targets. However, both the techniques maximize the mathematical complexity and delay which reduces the efficiency of target detection and may not be optimum to detect fast-moving targets.…”

Section: Related Workmentioning

confidence: 99%

Low noise moving target detection in high resolution radar using binary codes

Alotaibi

2021

EURASIP J. Adv. Signal Process.

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“…∑ n i=1 i S dvs (8) https://www.indjst.org/ where 1≤ n ≤ 4 and S dvs = Starting decimal value of the initial series (i.e. 10/3 = 3.3333, so limit the complimenting process up to 3 rd multiple) and the innovative codeword generated can be represented as…”

Section: Radar Code Generation Using the Booth Algorithm (Rcgbt) To M...mentioning

confidence: 99%

“…Alotaibi, M (6,7) modified the existing hex codes to improve the performance of the existing target detecting scheme, undoubtedly the author maximizes the target detection probability but still, the author fails to remove all side noise peaks and may not be the optimum solution of high-Resolution Radars. Aleem et al (8) proposed ASCI code of some special characters in which they tried to develop a set of coding schemes to test the target detection. Here the author got better results in terms of ambiguity but the performance of the designed codes reduces at the cost of auto and cross-correlation.…”

Section: Introductionmentioning

confidence: 99%

Enhance Auto and Cross-Correlation Properties to Detect Multiple Moving Targets in Radar using the Booths Algorithm

Koteswararaonaik,

Sharma

2023

IJST

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Objective: To enhance multiple moving target detection of Radar by improving auto and cross-correlation properties of the digital signal received from the target. Methods: This study uses the Booths Algorithm to generate various groups of digital codes to test the auto and cross-correlation properties, and Doppler tolerance of the desired digital signal received from the target. Furthermore, Matlab is used to validate the investigated results. The side-noise of the presented digital codes is optimal which improves both static and moving target detection in multi-target environment. Standard length codes (i.e. 8, 16, 32, 64,128 and 256-bit) are designed. Findings: The designed group of digital codes discovers a broad range in smart 5 th -generation battlefields to detect the target, in which multiple and fast-moving warfare including Unmanned Aerial vehicles will actively participate in the mission. To confirm the study, a comparison has been made between the proposed approach and the current art of work (vide figure A). Novelty: Simple novel and productive set of digital codes using the Booths Algorithm have been designed and tested in real-time applications; wherein, the side noise peaks have been reduced to a minimum when compared to the current art of work

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Multi-Criteria Decision Making to Detect Multiple Moving Targets in Radar Using Digital Codes

Alotaibi

2022

Sensors

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Technological advancement in battlefield and surveillance applications switch the radar investigators to put more effort into it, numerous theories and models have been proposed to improve the process of target detection in Doppler tolerant radar. However, still, more effort is needed towards the minimization of the noise below the radar threshold limit to accurately detect the target. In this paper, a digital coding technique is being discussed to mitigate the noise and to create clear windows for desired target detection. Moreover, multi-criteria of digital code combinations are developed using discrete mathematics and all designed codes have been tested to investigate various target detection properties such as the auto-correlation, cross-correlation properties, and ambiguity function using mat-lab to optimize and enhance the static and moving target in presence of the Doppler in a multi-target environment.

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Enhance Multiple Moving Target Detection in Doppler-Tolerant Radar Using IRAESC Technique

Cited by 3 publications

References 3 publications

Low noise moving target detection in high resolution radar using binary codes

Low noise moving target detection in high resolution radar using binary codes

Enhance Auto and Cross-Correlation Properties to Detect Multiple Moving Targets in Radar using the Booths Algorithm

Multi-Criteria Decision Making to Detect Multiple Moving Targets in Radar Using Digital Codes

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