IQ signals are a core technology of the zero-IF architecture in modern communication technology, but they are often unstable due to factors such as amplitude and phase imbalances. Utilizing the characteristics of IQ t...
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The proceedings contain 55 papers. The topics discussed include: advanced web tool for the optimization of antenna positioning based on evolutionary algorithms;hybrid wireless rf-perovskite photovoltaic energy harvest...
ISBN:
(纸本)9798350320602
The proceedings contain 55 papers. The topics discussed include: advanced web tool for the optimization of antenna positioning based on evolutionary algorithms;hybrid wireless rf-perovskite photovoltaic energy harvester design consideration for low-power Internet of Things;a study on propagation of frequency diverse array in multipath environments;robust array signalprocessing using L1-kernel-based principal component analysis;SSW-2D: some open-source propagation software introducing split-step wavelet and wavelet-to-wavelet propagation technique;and measurement of near-field electromagnetic distribution radiated from slotted circuit-shape waveguides to melt snow with microwave.
The Automatic Identification System (AIS), as a standard communication and navigation device for ships, plays a significant role in ensuring the safety and efficiency of maritime traffic. The accuracy of the AIS recei...
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ISBN:
(数字)9791188428137
ISBN:
(纸本)9798331507602
The Automatic Identification System (AIS), as a standard communication and navigation device for ships, plays a significant role in ensuring the safety and efficiency of maritime traffic. The accuracy of the AIS receiver’s signalprocessing directly affects the bit error rate (BER) and packet error rate (PER) of the AIS system, drawing considerable attention to AIS signal reception and processing technologies. Current research on AIS reception signals mainly focuses on custom implementations using hardware platforms like FPGAs; however, the high cost of hardware implementation has become a limiting factor in the development of AIS signalprocessing technologies. Therefore, this paper designs an AIS reception signalprocessing system based on GNU Radio, developing demodulation algorithm and NRZI decoding modules, and testing them with typical demodulation algorithms. Experimental results demonstrate the feasibility and effectiveness of the designed reception signalprocessing system.
In many applications using wireless sensor networks, the reliability of monitored data is crucial to analyze situations and take decisions. Compressed sensing methods are effective to ensure durability of a wireless s...
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The concept of Orthogonal Frequency-Division Multiplexing (OFDM) is a priority in wired and wireless information networks, mobile telecommunications of the 4th and 5th generations, modern digital television standards....
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The dark areas in SAR images are primarily low backscatter regions dominated by noise signals, characterized by significant texture, low echo energy, and large phase interference errors in the echo signals. Accurately...
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A current approach for performance assessment of imagers is triangle orientation discrimination (TOD). This approach requires observers or human visual system (HVS) models to recognize equilateral triangles pointing i...
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ISBN:
(纸本)9781510655461
A current approach for performance assessment of imagers is triangle orientation discrimination (TOD). This approach requires observers or human visual system (HVS) models to recognize equilateral triangles pointing in four different directions. Imagers may apply embedded advanced digital signalprocessing (ADSP) for contrast enhancement, noise reduction, edge sharpening, etc. Unfortunately, applied methods are in general not documented and hence unknown. Within the last decades a vast amount of techniques for constrast enhancement has been proposed. There are some comparisons of such algorithms for few images and figures of merit. However, many of these figures of merit cannot assess usability of altered image content for specific tasks such as object recognition In this work different algorithms for contrast enhancement are compared in terms of TOD assessments by convolutional neural networks (CNN) as models. These models are trained by artificial images with single triangles. Many methods for contrast enhancement highly depend on the content of the entire image. Therefore, the images are superimposed by natural backgrounds with varying standard deviations to provide different signal-to-background ratios. Then these images are degraded by Gaussian blur and noise representing degradational camera effects and sensor noise. Different algorithms are applied, such as the constrast-limited adaptive histogram equalization or local range modification. Then accuracies of the trained models on these images are compared for different ADSP algorithms. Accuracy gains for low signal-to-background ratio and sufficiently large triangles are found, while impairments are found for high signal-to-background ratio and small triangles. Finally, implications of replacing triangles by real target signatures when using such ADSP algorithms are discussed. The results can be a step towards the assessment of those algorithms for generic target recognition.
The increasing reliance on sensitive electronic equipment in modern power systems has heightened the importance of maintaining a high-quality power supply. Voltage sags, interruptions, and other disturbances can adver...
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The burgeoning field of Brain-Computer Interfaces (BCIs) holds immense potential for revolutionizing human-computer interaction, particularly through non-invasive methodologies. This paper introduces innovative signal...
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The array signalprocessing technology provides support for the localization of the sound source, obtains the sound signal through the acoustic sensor array, and determines the position of the sound source through the...
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ISBN:
(数字)9798331535087
ISBN:
(纸本)9798331535094
The array signalprocessing technology provides support for the localization of the sound source, obtains the sound signal through the acoustic sensor array, and determines the position of the sound source through the sound source positioning algorithm. However, in complex environments such as confined spaces, where noise and reverberation interference are large, and the positioning error of traditional algorithms is large, it is a major challenge to achieve efficient, real-time, and accurate sound source positioning. In this paper, on the basis of the cross-correlation delay estimation algorithm, the three-dimensional cross-correlation is carried out, the weighted function is optimized into SCOT/PHAT, and the generalized cubic cross-correlation algorithm based on SCOT/PHAT weighting is improved, and the three-dimensional seven-element acoustic sensor array structure is built for position solving. Comparative experiments show that the improved positioning system can effectively complete the localization of sound sources, and the positioning error is smaller.
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