this paper describes the development of a general framework for the efficient management of multiple sensors in target tracking. the basis of the technique is to quantify, and subsequently control, the accuracy of tar...
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ISBN:
(纸本)0819444782
this paper describes the development of a general framework for the efficient management of multiple sensors in target tracking. the basis of the technique is to quantify, and subsequently control, the accuracy of target state estimation. the Posterior Cramer-Rao lower bound provides the means of achieving this aim by enabling us to determine a bound on the performance of all unbiased estimators of the unknown target state. the general approach is then to use optimization techniques to control the measurement process in order to achieve accurate target state estimation. We are concerned primarily withthe deployment and utilization of a limited sensor resource. We also allow for measurement origin uncertainty, with sensor measurements either target generated or false alarms. We exploit previous work to determine a general expression for the Fisher Information Matrix in this case. We show that by making certain assumptions we can express the measurement uncertainty as a constant information reduction factor. this enables the Fisher Information Matrix to be calculated quickly, allowing Cramer-Rao bounds to be utilized for real-time, online sensor management. An example is presented in which the aim is to track a submarine by deploying a series of passive sonobuoys. the target moves according to a constant velocity model, and each sonobuoy provides bearings-only measurements. We show that the sensor management framework determines quick deployment strategies. this enables the target to be accurately localized, and at the same time makes efficient use of the limited sensor resource.
there exist various non-iterative algorithms for identifying unknown targets from scattering parameter data for example, bifocusing method, direct sampling method, factorization method, Kirchhoff migration, Multiple S...
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We present a Bayesian algorithm for optimal multiframe detection and tracking of small extended targets in two-dimensional (2D) finite resolution images. the algorithm integrates detection and tracking into a single f...
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Recently, microwave imaging aiming at early-stage-tumor detection has become of major interest because of its relatively high contrast resolution in the image. Chirp pulse microwave computed tomography (CP-MCT) obtain...
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Detecting and classifying small (i.e., with calibers ranging from 20 to 60 mm) and deep targets (burial depth more than 11 times targets diameter) is still a challenging problem using current advanced EMI sensors and ...
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ISBN:
(纸本)9781510600645
Detecting and classifying small (i.e., with calibers ranging from 20 to 60 mm) and deep targets (burial depth more than 11 times targets diameter) is still a challenging problem using current advanced EMI sensors and signalprocessing approaches. In order to overcome this problem, the standard time-domain NRL TEMTADS 2x2 electromagnetic induction (EMI) instrument is updated. Namely, the NRL TEMTADS 2x2 system's transmitter electronics is modified to increase transmitter (Tx) currents from 6 Amperes to 14 Amperes. the instrument has a Tx array with four coplanar square coils, together with four tri-axial receivers (Rx) placed at the center of each Tx. Each Rx cube contains three orthogonal coils and thus registers all three vector components of the impinging signals. the Tx coils, with transmitter currents of similar to 14 A, illuminate a buried target, and the target responses are collected with a 500 kHz sample rate after turn off of the excitation pulse. the system operates in both static (cued) and dynamic modes. For cued mode, the raw decay measurements are grouped into 121 logarithmically-spaced " gates" whose center times range from 25 mu s to 24.35 ms with 5% widths. the sensor is placed on a cart which provides a sensor-to-ground offset of 20 cm or less. In this paper, studies for APG Calibration, Blind, and small Munitions Grids are presented and analyzed. the areas are arranged in grids of test cells and the cell center positions are known. Each target position is flagged with a non-metallic pin flag using cm-level GPS. the sensor is positioned over each target in turn. Withthe system positioned over the target, each Tx is activated sequentially and during off the Tx current, all four Rx record data. the capabilities of this sensor platform is rigorously investigated for UXO classification at APG blind and small munitions grids.
In real-time digital-signalprocessing systems, data often enter or leave the computationally intensive parts at small integer multiples of the clocking interval. In these cases, traditional microprocessor-based archi...
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Recently, microwave imaging aiming at early-stage-tumor detection has become of major interest because of its relatively high contrast resolution in the image. Chirp pulse microwave computed tomography (CP-MCT) obtain...
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Recently, microwave imaging aiming at early-stage-tumor detection has become of major interest because of its relatively high contrast resolution in the image. Chirp pulse microwave computed tomography (CP-MCT) obtains the attenuation and/or phase shift images of biological targets by use of a chirp pulse signal from 1 GHz to 2 GHz and signalprocessing techniques. the experimental- and computational-studies show that the estimated spatial resolution becomes 10 to 12 mm and very small temperature variation such as 0.3 degree to 0.5 degree is detectable. Usefulness of this imaging modality increases by developing a fan beam scanner that enables fast data acquisition. In fact, it takes only a few minutes for imaging, while the prototype system takes about 90 minutes.
In the maritime environment, the main goals of an infrared search and track system is to search and track the targets approaching to ships, such as sea skimming missiles, small ships, and aircrafts. In this paper, we ...
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ISBN:
(纸本)9780819471314
In the maritime environment, the main goals of an infrared search and track system is to search and track the targets approaching to ships, such as sea skimming missiles, small ships, and aircrafts. In this paper, we propose a high performance infrared search and track system. Our proposed infrared search and track system is composed of a dual band infrared detection module, signalprocessing module, servo control module, and control console module. In the dual band infrared detection module, the sensor head of our proposed system is organized by one-dimensional MWIR and LWIR detectors (480X6) with 3-axes servo stabilization. the signal-processing module consists of several blocks such as a target detection block, target tracking block, panoramic video displaying block, video input/output block, and system control block. those blocks perform the signal-processing algorithms involved with target search and tracking. In our proposed system, adaptive temporal and spatial filtering methods, which can reduce background clutters effectively, are used for target detection. Moreover, the extended Kalman filter and the integrated probabilistic data association (IPDA) algorithm are adapted for target tracking. therefore, our proposed infrared search and track system can increase the defense ability of warships due to long range and high accuracy of target detection and tracking.
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