Signal design and processing for noise radar

Galati, Gaspare; Pavan, Gabriele; Wasserzier, Christoph

doi:10.1186/s13634-022-00884-1

Cited by 19 publications

(15 citation statements)

References 74 publications

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“…Radar signal processing can be defined as the extraction of target echoes from the received signal, represented in digital format, and corrupted with unwanted echoes (e.g., clutter). In general, surveillance radar systems estimate the existence or absence of targets, while radar echoes are distorted by ground clutter, interference, or noise [24][25][26]. As mentioned before, pulsed Doppler ground surveillance radar (ground-based pulse Doppler surveillance radar) discussed in this paper detects and indicates moving targets such as heavy or light vehicles, aircraft, etc.…”

Section: Radar Signal Processingmentioning

confidence: 99%

Implementation of Digital Signal Processor for Pulse Doppler Radar

Parhizgar,

Parhizgar

et al. 2023

Comput. Networks Commun.

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This paper presents the design and implementation of a digital signal processor (DSP) board, utilizing a TMS320C50 family DSP chip, for pulse-Doppler radar systems. Pulse-Doppler radar systems often encounter challenges such as strong clutter, noise, and jamming in dealing with echoes. To overcome these challenges, advanced digital signal processing techniques are employed. The main objective of this paper is to introduce a cost-effective signal processing solution that significantly enhances the performance of the radar system and brings it up to speed with modern radar technologies. The hardware described in this work can also be effectively utilized for implementing various types of signal processing algorithms. Additionally, as a secondary objective, the paper presents the digital realization of a radar detector. Traditionally, this detector was constructed using an analog Doppler filter bank. However, in this work, it is digitally implemented using N digital filters in place of the analog bank. By utilizing the designed DSP board and implementing the radar detector digitally, this paper demonstrates the potential for improved performance and efficiency in pulse-Doppler radar systems. The advancements made in this work contribute to the development of cost-effective and technologically advanced radar systems. The research results are presented for four different wind conditions, showcasing the effectiveness of the proposed approach. Furthermore, the paper suggests an algorithm that combines parametric and non-parametric techniques and provides a detailed explanation of its implementation. Finally, using the non-parametric technique, the probability of detection curves (PD) are simulated with respect to the signal-to-clutter ratio (SCR) for each wind condition, and the simulation results are depicted and compared. The achievements of this paper include the proposal of an efficient approach for clutter suppression in ground surveillance pulse Doppler radar, the comparison of different clutter suppression algorithms, and the development of an algorithm that combines parametric and non-parametric techniques. The simulation results provide valuable insights into the performance of the proposed algorithms under different wind conditions.

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Section: Radar Signal Processingmentioning

confidence: 99%

Implementation of Digital Signal Processor for Pulse Doppler Radar

Parhizgar,

Parhizgar

et al. 2023

Comput. Networks Commun.

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“…[10]. Signal processing involves a wide range of technologies, the first is pulse compression [11]. Farnett E C et al introduced the principle of the pulse compression technique in detail, this technology can improve the resolution of radar detection [12][13].…”

Section: Background and Related Workmentioning

confidence: 99%

“…[1] Blunt S D, Mokole E L. An Overview of radar waveform diversity[J]. IEEE Aerospace and Electronic Systems Magazine, 2016, 31(11): 2-42. [2] Iqbal Y, Jawad M. An effective coherent noise jamming method for the deception of widebandLFM radars[C].…”

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confidence: 99%

Research on Radar Jamming for Detection Performance

Wang

Chen

et al. 2023

J. Phys.: Conf. Ser.

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Radar jamming plays an important role in modern military affairs. The current radar jamming technology is mainly divided into two parts: suppressive jamming and deceptive jamming. This paper applies the jamming effect of multi-false target jamming in deceptive jamming and noise AM jamming, noise FM jamming, and noise PM jamming in suppressive jamming to the radar’s echo signal. Besides, this paper studies their influences from the aspect of target detection results through MTI and the influence of these jamming methods on the radar detection probability through CFAR. The experimental results can directly show the influence of interference measures on detection results and detection probability, and prove the effectiveness of these interference methods.

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“…The vibrodiagnostic measurement of defects in electric motors, which lead to a discrete vibration spectrum, is carried out mainly by the recognition of the frequency and spectrum of the vibrations in the components [3], which are caused by defects and appear at strictly defined frequencies. In addition, the signal levels of the side frequencies often exceed the signal of the carrier frequency [4][5][6]. Specialized built-in control algorithms are implemented in the system to assess the current state of the brush commutator assembly (BCA) and rolling bearings.…”

Section: Introductionmentioning

confidence: 99%

Increasing the Efficiency of Diagnostics in the Brush-Commutator Assembly of a Direct Current Electric Motor

Filina,

Martyushev,

Malozyomov

et al. 2023

Energies

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Increasing the productivity and reliability of mining infrastructure facilities is an important task in achieving future goals. Mining dump trucks are an important part of coal mine infrastructure. In this article, to determine the reliability indicators in a brush–commutator unit and the residual life of electric motor brushes, a mathematical model for processing statistical data has been developed, which allows for the classification of types of failures and, unlike existing models, the determination of the life of the brushes according to the maximum extent of their wear. A method for predicting the residual life of an electric brush in a DC electric motor is presented, which contains a list of controlled reliability indicators, included a mathematical model. The described model improves the accuracy of the prediction and detection of DC motor failures. The derivation of the general formula for calculating the residual life of electric brushes is given. Based on the proposed mathematical model, we studied and calculated the reliability of the brush–commutator unit, the minimum height of the brush during operation, the average rate of its wear, the standard deviation and the mathematical expectation of brush wear. A nomogram of the failure-free operation time of the brush–commutator unit in a DC electric motor was modeled using the height of the brush during operation. Output parameters after the implementation of this monitoring system include the reliability of the electric motor operation. At the same time, diagnostic characteristics are improved twofold, and the residual life of the brush-switching unit is increased by 28–30%.

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Signal design and processing for noise radar

Cited by 19 publications

References 74 publications

Implementation of Digital Signal Processor for Pulse Doppler Radar

Implementation of Digital Signal Processor for Pulse Doppler Radar

Research on Radar Jamming for Detection Performance

Increasing the Efficiency of Diagnostics in the Brush-Commutator Assembly of a Direct Current Electric Motor

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