In the imaging of non-cooperative targets in inverse synthetic aperture radar (ISAR), the migration through range cells (MTRC) and phase error caused by rotation will lead to image blur. To address these challenges, t...
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ISBN:
(数字)9798331515669
ISBN:
(纸本)9798331515676
In the imaging of non-cooperative targets in inverse synthetic aperture radar (ISAR), the migration through range cells (MTRC) and phase error caused by rotation will lead to image blur. To address these challenges, this paper introduces a harmonic wavelet imaging algorithm based on Keystone transform. The algorithm corrects MTRC through Keystone transform and realizes efficient processing of target signals through harmonic wavelet transform, thereby obtaining high-resolution ISAR images. Moreover, this approach circumvents the need for prior target information, streamlines the imaging process, and is well-suited for high-resolution imaging of non-cooperative targets. The method’s effectiveness is confirmed through scattering point simulation data. Experimental results demonstrate that this approach produces clear and well-focused ISAR images even when targets rotate at varying speeds. In comparison to traditional imaging methods, the image contrast achieved by this algorithm is enhanced by 1 to 2 times.
To improve the test efficiency of inertial navigation components and meet the measurement requirements of multi-type signal output. This paper proposes a dual-mode inertial navigation data acquisition system based on ...
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The technologies could be expected a practical application of searching for submarine minerals, such as thermal vents a few meters high, to a depth of 3,000 meters. In order to develop exploration technologies for sub...
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ISBN:
(纸本)9781467308298
The technologies could be expected a practical application of searching for submarine minerals, such as thermal vents a few meters high, to a depth of 3,000 meters. In order to develop exploration technologies for submarine resources, new sensor technology needs to be developed for use with autonomous underwater vehicles (AUV) or remotely operated vehicle (ROV). We have used an optic gyrocompass CDL Mini POS-II and a Doppler velocity log (DVL) RD WH300 for the research on three dimensional synthetic and real aperture sonar technologies. However, these sensors with pressure housing are too large to mount on autonomous underwater vehicle (AUV). So, in cooperation with IXBLUE and OceanWings, we created a small fiber optic gyrocompass (FOG) with motion sensors based on IMU-50 and packed it in a small pressure housing with an outer diameter 112 mm and a length 295mm. We extracted a unit composed of three-axes angular velocity and three-axes velocity sensors and a serial interface from the IMU-50, and add it to a RS-232C converter board. Then we achieved the original software for measuring heading based on the true-north, roll, and pitch angles using the raw increment data from the small fiber optic gyrocompass. Compared with the high-performance FOG IXBLUE PHINS with accuracy 0.01 degrees, the original software achieved the true north estimation with accuracy 0.25 degrees of the same one as IXBLUE Quadrance based on IMU50 without a pressure housing. As for a small DVL NavQuest 600 is employed for optical gyrocompass and DVL navigation for the SAS processing. With respect to developing and researching on three dimensional synthetic and real aperture sonar technologies, we originally designed and manufactured the five raw hydrophone arrays with 40 hydrophone elements in a shape of triangle and have made several sea tests on targets of breakwaters, fishing banks, and hydrothermal vents. So far, we have developed the software for producing three dimensional backscatter image
During the past decade, small-footprint full-waveform lidar systems have become increasingly available, especially airborne. The primary output of these systems is high-resolution topographic information in the form o...
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ISBN:
(纸本)9780819492777
During the past decade, small-footprint full-waveform lidar systems have become increasingly available, especially airborne. The primary output of these systems is high-resolution topographic information in the form of three-dimensional point clouds over large areas. Recording the temporal profile of the transmitted laser pulse and of its echoes enables to detect more echoes per pulse than in the case of discrete-return lidar systems, resulting in a higher point density over complex terrain. Furthermore, full-waveform instruments also allow for retrieving radiometric information of the scanned surfaces, commonly as an amplitude value and an echo width stored together with the 3D coordinates of the single points. However, the radiometric information needs to be calibrated in order to merge datasets acquired at different altitudes and/or with different instruments, so that the radiometric information becomes an object property independent of the flight mission and instrument parameters. State-of-the-art radiometric calibration techniques for full-waveform lidar data are based on Gaussian Decomposition to overcome the ill-posedness of the inherent inversion problem, i.e. deconvolution. However, these approaches make strong assumptions on the temporal profile of the transmitted laser pulse and the physical properties of the scanned surfaces, represented by the differential backscatter cross-section. In this paper, we present a novel approach for radiometric calibration using uniform B-splines. This kind of functions allows for linear inversion without constraining the temporal shape of the modeled signals. The theoretical derivation is illustrated by examples recorded with a Riegl LMS-Q560 and an Optech ALTM 3100 system, respectively.
Quadrature compressive sampling (QuadCS) is a sub-Nyquist sampling system for acquiring inphase and quadrature (I/Q) components of radio-frequency signals. This paper discusses the application of the QuadCS system to ...
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Quadrature compressive sampling (QuadCS) is a sub-Nyquist sampling system for acquiring inphase and quadrature (I/Q) components of radio-frequency signals. This paper discusses the application of the QuadCS system to pulse-Doppler radars and develops a compressive sampling pulse-Doppler (CoSaPD) processing scheme from the sub-Nyquist samples. The Doppler estimation is realized through spectrum analyzer as in classic processing. The detection is done on the Doppler bin data. The range estimation is performed through sparse recovery algorithms on the detected targets. Due to inherent detection property of the recovery algorithms, the detection threshold can be set at a low value and then the introduced false targets are removed in the range estimation stage. Simulation results show that the CoSaPD scheme with the data at one eighth the Nyquist rate and for SNR above -25dB can achieve performance of the classic processing with Nyquist samples.
As a new approach to underwater signal acquisition, small-size passive arrays deployed on autonomous underwater vehicles (AUVs) have some performance limitations for DOA estimation. On the one hand, there is the probl...
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ISBN:
(纸本)9798400716744
As a new approach to underwater signal acquisition, small-size passive arrays deployed on autonomous underwater vehicles (AUVs) have some performance limitations for DOA estimation. On the one hand, there is the problem of real-time front-end processing;on the other hand, there is the problem of estimation accuracy. Especially when faced with a multi-target problem, too small an angle between the sources and too large an energy difference between the signals can make DOA estimation difficult. This article introduces an improved sparse DOA estimation method for practical multi-objective DOA estimation in complex scenarios of AUV platforms. The main work of this thesis is to introduce a new updating formula in the sparse iterative covariance process, and it will dramatically speed up sparse fitting and somewhat solve the aperture problem for small-size arrays. Compared to other sparse methods, the method completes the DOA estimation more quickly without prior information about the target. Finally, simulations have verified the method's effectiveness.
The proceedings contain 43 papers. The topics discussed include: solar-powered IoT charging system for ESP32 in organic rice field;STAT intelligence: data management and monitoring platform for BCG economy model;comme...
ISBN:
(纸本)9798350371215
The proceedings contain 43 papers. The topics discussed include: solar-powered IoT charging system for ESP32 in organic rice field;STAT intelligence: data management and monitoring platform for BCG economy model;comment usefulness classification on YouTube using artificial neural networks;vehicle telematics system design for real-time applications using mobile networks;using knowledge graphs to enhance keyword search efficiency of the online encyclopedia and taxonomy system of the office of the royal society;decode brain signal into Thai word using EEG and L-SVM;cloud stateless server failover prediction using machine learning on proactive system metrics;generative AI for self-healing systems;machine learning to examine the foraging periods of bees;spoof detection using voice contribution on LFCC features and ResNet-34;and Simple2In1: a simple method for fusing two sequences from different captioning systems into one sequence for a small-scale Thai dataset.
We present a data-driven formant model and methodology for discovering its parameters, namely phoneme targets and coarticulation functions for consonant-vowel-consonant (CVC) words from fully-automatic formant data. T...
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ISBN:
(纸本)9781479903573
We present a data-driven formant model and methodology for discovering its parameters, namely phoneme targets and coarticulation functions for consonant-vowel-consonant (CVC) words from fully-automatic formant data. The model uses formant targets that are speaker dependent, but independent of speaking style and phonemic context. We used a global error measure to search for optimal formant targets for all phonemes, including classes of sounds where formants are not directly observable. Analysis of coarticulation parameters found significant differences in parameters between clear and conversational speech. Estimated formant targets were largely in agreement with acoustic-phonetic expectations. An intelligibility test validated that resynthesized CVC words using modeled formant trajectories were nearly as intelligible as resynthesized CVC words using observed formant trajectories.
Distributed Array Radar (DAR) uses space diversity to obtain better detection performance. As a new configuration of DAR, Linear Array Radar (LAR) can achieve a higher frame rate and higher dimensional imaging of aero...
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A novel system for estimating the attitude (orientation) of a platform using measurements of Low Frequency (LF) radio signals is reported. The sensor system consists of an array of three orthogonal solenoid coil anten...
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ISBN:
(纸本)9781479901616
A novel system for estimating the attitude (orientation) of a platform using measurements of Low Frequency (LF) radio signals is reported. The sensor system consists of an array of three orthogonal solenoid coil antennas, a three channel radio receiver circuit, a datalogging and control module and dataprocessing algorithms. Traditional low-cost attitude estimation systems typically combine accelerometers, magnetometers and gyroscopes, but produce estimates that are sensitive to platform acceleration. This is a particular problem in high-acceleration, cost-constrained environments such as small fixed-wing Unmanned Aerial Vehicles. The system presented here is shown to accurately measure the axis of polarisation for signals with linear or almost linear polarisation, subject to a sign ambiguity. A representative AM radio broadcast in the LF band is shown to have a substantially linear polarisation, which is used to provide information about the sensor's attitude and shown to exhibit no drift over a period of 24 hours.
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