This paper presents an in-depth analysis of the Linear Frequency-Modulated Continuous-Wave (LFMCW) radar, focusing on its application in urban environments for detecting low, slow, and small (LSS) targets. The paper c...
This paper presents an in-depth analysis of the Linear Frequency-Modulated Continuous-Wave (LFMCW) radar, focusing on its application in urban environments for detecting low, slow, and small (LSS) targets. The paper comprehensively examines the operational range, noise characteristics, system loss, error sources, and various signalprocessing schemes of LFMCW radar. Special attention is given to the array radar technology, emphasizing its significance in modern radar systems and how it enhances target detection through techniques like Intermediate Frequency Quadrature Sampling, Amplitude and Phase Error Correction, Target Parameter Estimation, and Constant False Alarm Rate Detection. The research underscores the system's capability in simultaneous multi-beam formation, crucial for accurate target detection and angle measurement in challenging urban scenarios. The findings indicate that LFMCW radar, equipped with advanced signalprocessing techniques, offers robust performance in detecting LSS targets, making it highly suitable for applications in areas like airport airspace control, military surveillance, and public event security.
Orthogonal time frequency space-integrated sensing and communication (OTFS-ISAC) has recently emerged as a focal point of research within the development of sixth generation (6G) networks, due to its unique advantages...
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ISBN:
(数字)9798331515669
ISBN:
(纸本)9798331515676
Orthogonal time frequency space-integrated sensing and communication (OTFS-ISAC) has recently emerged as a focal point of research within the development of sixth generation (6G) networks, due to its unique advantages in high mobility scenarios. In this article, we focus on the parameter estimation problem of sensing targets in the OTFS-ISAC system. Firstly, we introduce the system framework of OTFS-ISAC. Then, a review is conducted on the parameter estimation methods of sensing targets in OTFS-ISAC. Furthermore, technical challenges that OTFS-ISAC may face are outlined, as well as the future research directions. Finally, we provide several emerging applications for OTFS-ISAC and make statements on the parameter estimation of sensing targets in these scenarios.
Floating marine debris is one of the significant marine pollutions that affect many living on the globe. Thanks to satellite technology, the Earth observation satellite has mostly constant frequency and wide area cove...
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This paper presents a system-level description of the Joint Services Lightweight Standoff Chemical Agent Detector (JSLSCAD). JSLSCAD is a passive Fourier Transform InfraRed (FTIR) based remote sensing system for detec...
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ISBN:
(纸本)0819457809
This paper presents a system-level description of the Joint Services Lightweight Standoff Chemical Agent Detector (JSLSCAD). JSLSCAD is a passive Fourier Transform InfraRed (FTIR) based remote sensing system for detecting chemical warfare agents. Unlike predecessor systems, JSLSCAD is capable of operating while on the move to accomplish reconnaissance, surveillance, and contamination avoidance missions. Additionally, the system is designed to meet the needs for application on air and sea as well as ground mobile and fixed site platforms. The core of the system is a rugged Michelson interferometer with a flexure spring bearing mechanism and bi-directional data acquisition capability. The sensor is interfaced to a small, high performance spatial scanner that provides high-speed, two-axis area coverage. Command, control, and processing electronics have been coupled with real time control software and robust detection/discrimination algorithms. Operator interfaces include local and remote options in addition to interfaces to external communications networks. The modular system design facilitates interfacing to the many platforms targeted for JSLSCAD.
Detection of surface targets using over-the-horizon radar (OTHR) is extremely challenging due to ionospherically-induced Doppler spread clutter. In particular, low Doppler targets are often masked by ground clutter ar...
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Detection of surface targets using over-the-horizon radar (OTHR) is extremely challenging due to ionospherically-induced Doppler spread clutter. In particular, low Doppler targets are often masked by ground clutter arriving via multipath propagation at different elevation angles, each with a different ionospheric Doppler shift. The wavefront adaptive raymode processing (WARP) approach presented here exploits the azimuthally distributed nature of the clutter return and adaptively estimates the "crinkly" spatial wavefront arriving on each raymode by using its distinct Doppler spectral characteristics. Rather than the plane-wave beamwidth of the array aperture, the raymode resolution of WARP is limited by the wavenumber-extent-spatial-aperture (WESA) product of the clutter return. Thus it is possible to spatially separate clutter raymodes using limited array apertures. Using simulated radar data, WARP is shown to provide a signal-to-clutter-plus-noise ratio (SCNR) improvement of as much as 30 dB over conventional processing for targets buried in Doppler spread clutter.
The traditional direct position determination (DPD) for multiple targets usually requires transmitting raw data to the fusion center (FC), which occupies large transmission bandwidth and hardware resource. To solve th...
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The traditional direct position determination (DPD) for multiple targets usually requires transmitting raw data to the fusion center (FC), which occupies large transmission bandwidth and hardware resource. To solve this problem, we adopt one-bit analog-to-digital converters (ADCs) for a distributed subarray (DS) system, and propose an one-bit DPD method with multiple signal classification (1-bit DPD-MUSIC). The method approximates the one-bit signal as a scaled infinite-bit signal with a quantization error. Thus, the MUSIC algorithm can be straightforwardly applied without extra preprocessing. Simulations demonstrate that the proposed method saves large bandwidth and power with a slight loss of performance compared with the infinite-bit one. Moreover, 1-bit DPD-MUSIC is computationally efficient and outperforms the one-bit DPD based on maximum likelihood estimate (MLE) one for the close targets.
In dual-sensor multi-target dataprocessing, it is crucial to pair the measurements originating from the same target. Up to now, a number of algorithms have been developed to deal with the issue. However, the local me...
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ISBN:
(数字)9798350367157
ISBN:
(纸本)9798350367164
In dual-sensor multi-target dataprocessing, it is crucial to pair the measurements originating from the same target. Up to now, a number of algorithms have been developed to deal with the issue. However, the local methods among them perform poorly in dense target scenarios, while common global algorithms are difficult to implement because of their huge computational complexity. In this paper, an efficient global method is proposed to deal with the measurement pairing of dense targets in a dual-sensor system. Referring to maximum a posterior probability(MAP) criterion, we show that the optimal pairing scheme is the one that minimizes the quadratic sum of the Euclidean distances between the paired measurements. Therefore, we convert measurement pairing into an assignment problem, which is a typical NP-hard issue in combinatorial optimization. The Hungarian algorithm is adopted to solve the converted problem and the simulation results verify the effectiveness of the proposed method.
This study proposes a multi-dimensional Hough transform algorithm that is improved from by detecting weak targets in the high clutter. In the proposed algorithm execution time is reduced by eliminating the measurement...
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This study proposes a multi-dimensional Hough transform algorithm that is improved from by detecting weak targets in the high clutter. In the proposed algorithm execution time is reduced by eliminating the measurements considering speed and SNR values before the Hough transform. The skor-based track confirmation algorithm proposed is improved and tracks that belong to same target are eliminated. The proposed algorithm is tested with real data and results are presented.
The proceedings contain 1029 papers. The topics discussed include: effect of MR contrast agents on quantitative accuracy of PET in combined whole-body PET/MR imaging;evaluation of the efficacy of an MR-based pet motio...
ISBN:
(纸本)9781467301183
The proceedings contain 1029 papers. The topics discussed include: effect of MR contrast agents on quantitative accuracy of PET in combined whole-body PET/MR imaging;evaluation of the efficacy of an MR-based pet motion correction scheme by assessing the improvement in FDG image-derived AIF as compared to arterial blood sampling in healthy volunteers;ion radiography: measuring high soft tissue contrast with an amorphous silicon detector;natural feature pose measurement for awake animal imaging;automatic self gating of small-animal PET from list-mode data;in-vivo multiple-probes tracker based on astrophysical gamma-ray detector technologies;a reaction-diffusion simulation model of 18F-FDG PET imaging for the quantitative interpretation of cancerous metabolism;investigation of timing algorithms in a parallel signalprocessing environment using data from multiple SSPM pixels for each event;and development and testing of a SSPM based DOI capable prototype PET detector.
The proceedings contain 88 papers. The special focus in this conference is on Environmental Engineering and Computer Application. The topics include: Application of artificial neural network ensembles for city ecology...
ISBN:
(纸本)9781138028074
The proceedings contain 88 papers. The special focus in this conference is on Environmental Engineering and Computer Application. The topics include: Application of artificial neural network ensembles for city ecology forecasting using air chemical composition information;an improved method for calculating atmospheric refraction coefficient for eliminating influence of meteorological factors;cerium-induced genotoxicity in Arabidopsis at environmentally relevant doses;determination of the cycle duration for 155 years in the nikolaevsk-on-Amur meteorological station;soil erosion spatial distribution simulation of the jinghe river basin in the loess plateau of china;predicting sinking resistance of jacked piles with CPT in a multilayer soil at the pearl river delta alluvial plain;numerical simulation of oil spill caused by ship collision in dongjiakou port;statistics and analysis on causes for well blowout accident;low cost adsorbent to reduce disinfection by-products from drinking water in small communities;a submersible automatic monitoring system of water quality employing a spectral scanning sensor;progress and prospect of migration character about insoluble sedimentary pollutants;design of earthquake-dataprocessing platform;simulation of soil moisture fluctuation based on the signal-to-noise ratio of GPS;sorted run length coding-application to meteosat image compression;application of GIS to Tibetan Buddhist monastery data platform;monitoring of disaster and restoration of eastern Japan tsunami by satellite images;spatio temporal processing of geoinformation for decision making in critical situations and spatial distribution of ethnic villages in qiandongnan mountainous region.
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