In most of available DOA estimation algorithms, such as MUSIC, Capon algorithm, and so on, the Nyquist spatial sampling theory must be followed. Otherwise, ambiguous azimuth angles will appear in DOA estimation result...
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In most of available DOA estimation algorithms, such as MUSIC, Capon algorithm, and so on, the Nyquist spatial sampling theory must be followed. Otherwise, ambiguous azimuth angles will appear in DOA estimation results, which lead to inconvenience on the judgment of target azimuth angle. To improve the sonar's resolution, a general method is to increase the sensor elements then expand its observation aperture. Accordingly, the cost of manufacturing and dataprocessing are increased. To achieve high resolution with few sensor elements, a kind of non-uniform linear random sonar array is designed, which breaks the Nyquist sampling rate restriction, and then the MUSIC algorithm is used to estimate underwater targets azimuth angles. Simulation results show that, with the same aperture, the performance of non-uniform array is extremely improved over uniform array under high signal SNR. But under low signal SNR, it's performance decreases also. Then a mean method is proposed to solve this problem.
The proceedings contain 60 papers. The special focus in this conference is on Chemical Materials Research, Materials Science, processing and Application and Power Systems and Electronics. The topics include: Efficient...
ISBN:
(纸本)9783038352150
The proceedings contain 60 papers. The special focus in this conference is on Chemical Materials Research, Materials Science, processing and Application and Power Systems and Electronics. The topics include: Efficient synthesis, photochromism and fluorescence properties of a novel diarylethene bearing a fluorene;efficient synthesis, photochromism and fluorescence properties of a novel diarylethene bearing a naphthalene;simulation and test for the lightning damage of the glass fiber composites;development of combined monitoring system of MOA insulating material and CT (casing tube) insulating material;study on the properties of multi-extruded recycled PE and PP;research on carbon materials with synthesis and characterization of graphene-based;influence of original surface roughness on ultrasonic deep rolling effects;the application of tissue engineering and biological materials on exercise-induced meniscus injury;numerical study on bending behavior of copper alloy thin plate by single pulse laser;research on electrical engineering with a multi energy-type coordinated micro-grid day-ahead scheduling strategy based on IPSO algorithm;research on electrical engineering with a new fault location method of double terminal based on HHT;design and implementation of frequency measuring circuit based on countdown counter;condition assessment for power transformer based on improved evidence combination rule;influence of wind farm with PMSG type on smallsignal stability of power system;phase D-value digital measuring algorithms study and design in power system;analysis of the unexpected opening of ABB circuit-breaker opening under 30% control voltage;introduction and study on protective relaying in power system;detection method of magnetically controlled reactor as excitation device;zero crossing point phase detector simulation based on PROTEUS;study on well logging technology with methods of evaluating gas content of coal-bed methane reservoir;the improvement of data acquisiti
This paper describes the Fast Discrete Curvelet Transform (FDCT) which is integrated into an automated object detection framework capable of fast image processing for the purpose of tracking multiple objects of intere...
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ISBN:
(纸本)9780819497079
This paper describes the Fast Discrete Curvelet Transform (FDCT) which is integrated into an automated object detection framework capable of fast image processing for the purpose of tracking multiple objects of interest. The distinguishing difference between FDCT and other transforms is that the Curvelet coefficients have three beneficial parameters, which define scale, orientation, and spatial locations. We utilize these parameters to efficiently detect relatively small objects in a variety of image and video data sets. We have implemented the FDCT in a multi-stage automatic target recognition (ATR) architecture. The results of the current algorithm yield a highly sensitive detection of smalltargets in noisy backgrounds.
An examination of the application of Space Time Adaptive processing (STAP) techniques to real, multi-channel, medium grazing angle, radar sea clutter data is undertaken and the detection performance is quantified agai...
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ISBN:
(纸本)9780819497079
An examination of the application of Space Time Adaptive processing (STAP) techniques to real, multi-channel, medium grazing angle, radar sea clutter data is undertaken and the detection performance is quantified against simulated moving maritime surface targets. The application of sub-optimal STAP approaches to the maritime radar detection problem is shown to be complicated by non-stationarity of sea clutter and rapid variations of the sea clutter spectrum due to transient wave activity. Observed performance gains from maritime STAP are much more limited than those observed for Ground Moving Target Indication (GMTI) due to the inherent spectral width of sea clutter and the slow Doppler velocities of maritime targets. Three sub-optimal STAP processing architectures are examined and PRI-Staggered Post-Doppler is shown to provide consistently superior detection performance for the data set in question.
A fully printable 60 GHz image-based chipless RFID tag provides high data capacity in a small area. The printed tag consists of an array of inclined conductive meander lines that act as effective electromagnetic (EM) ...
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A fully printable 60 GHz image-based chipless RFID tag provides high data capacity in a small area. The printed tag consists of an array of inclined conductive meander lines that act as effective electromagnetic (EM) polarizers. When illuminated with a linearly polarized signal, the tag backscatters high radar cross section (RCS) in orthogonal direction. The electromagnetic (EM) image of the tag is derived through synthetic aperture radar (SAR) signalprocessing that reveals the encoded content of the tag. The tag is very immune to multipath interference and clutter.
data containing the radar signature of amoving person on the ground were collected at ranges of up to 30 km from a moving airborne platform using the DRDC Ottawa X-band Wideband Experimental Airborne Radar (XWEAR). Th...
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ISBN:
(纸本)9780819497079
data containing the radar signature of amoving person on the ground were collected at ranges of up to 30 km from a moving airborne platform using the DRDC Ottawa X-band Wideband Experimental Airborne Radar (XWEAR). The human target radar echo returns were found to possess a characteristic amplitude modulated (AM) and frequency modulated (FM) signature which could be usefully characterized in terms of conventional AM and FM modulation parameters. Human detection performance after space time adaptive processing is frequently limited by false alarms arising from incomplete cancellation of large radar cross-section discretes during the whitening step. However, the clutter discretes possess different modulation characteristics from the human targets discussed above. The ability of pattern classification techniques to use this parameter measurement space to distinguish between human targets and clutter discretes is explored and preliminary results presented.
In this paper, we present a novel multi-sensor fusion method to build a human skeleton. We propose to fuse the joint position information obtained from the popular Kinect sensor with more precise estimation of body se...
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In this paper, we present a novel multi-sensor fusion method to build a human skeleton. We propose to fuse the joint position information obtained from the popular Kinect sensor with more precise estimation of body segment orientations provided by a small number of wearable inertial sensors. The use of inertial sensors can help to address many of the well known limitations of the Kinect sensor. The precise calculation of joint angles potentially allows the quantification of movement errors in technique training, thus facilitating the use of the low-cost Kinect sensor for accurate biomechanical purposes e.g. the improved human skeleton could be used in visual feedback-guided motor learning, for example. We compare our system to the gold standard Vicon optical motion capture system, proving that the fused skeleton achieves a very high level of accuracy.
Minimizing buffer sizes of dynamic dataflow implementations without introducing deadlocks or reducing the design performance is in general an important and useful design objective. Indeed, buffer sizes that are too sm...
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ISBN:
(纸本)9781479928941
Minimizing buffer sizes of dynamic dataflow implementations without introducing deadlocks or reducing the design performance is in general an important and useful design objective. Indeed, buffer sizes that are too small causing a system to deadlock during execution, or dimensioning unnecessarily large sizes leading to a resource inefficient design are both not a desired design option. This paper presents an implementation, validation, and comparison of several buffer size optimization techniques for the generic class of dynamic dataflow model of computation called the dataflow process network. The paper presents an heuristic capable of finding a close-to-minimum buffer size configuration for deadlock-free executions, and a methodology to efficiently explore different configurations for feasible design alternatives. The approach is demonstrated using as experimental design case, an MPEG-4 AVC/H.264 decoder implemented on an FPGA.
Traditional cellular network infrastructure provide fixed radio coverage. The temporal changes in user distribution throughout the day and from day to day leads to inefficient use of radio resources. Our position is t...
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Traditional cellular network infrastructure provide fixed radio coverage. The temporal changes in user distribution throughout the day and from day to day leads to inefficient use of radio resources. Our position is to create an adaptive radio coverage to match the radio resources and user demand. The main approach for creating flexible radio coverage (in our view) is to replace large cells with many small cells that can be switched ON and OFF as needed. The small cells have the added crucial advantage of supporting the very high data rates expected in future networks. The proposed approach will rely on developing advanced Self Organizing Network (SON) techniques to deploy, monitor and manage radio resources in the small cells. This paper discusses requirements for this approach and how it can be implemented within the SON.
A very-long instruction word (VLIW) Hexagon™ DSP is fabricated using a 28 nm high-κ metal-gate process technology optimized for mobile applications [1]. The DSP is designed for a heterogeneous computing environment. ...
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A very-long instruction word (VLIW) Hexagon™ DSP is fabricated using a 28 nm high-κ metal-gate process technology optimized for mobile applications [1]. The DSP is designed for a heterogeneous computing environment. It targets high performance and low power across a wide variety of multimedia and modem applications, under aggressive area targets. Its architecture pursues high IPC as opposed to high frequency [2]. It includes a 32 kB L1 data cache (D$), a 16 kB L1 instruction cache (I$), and a 256 kB L2 cache.
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