For airborne radar, the estimation performance of moving target parameters is greatly affected by the residuals of ground clutter after space-time adaptive processing (STAP). The non-homogeneity of environment, which ...
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Some technologies of medical radars design are discussed in the report. Radars are intended to obtain the mechanical moving trajectory of living organism chest. Peculiarities of radar detection of targets performing s...
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Sparse Coding (SC), which models the data vectors as sparse linear combinations over basis vectors, has been widely applied in machine learning, signalprocessing and neu-roscience. In this paper, we propose a dual ra...
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Rang-Instaneous-Doppler (RID) processing is widely used in ISAR imaging of maneuvering target and acceptable image can be achieved when the amplitude modulation effect of scatterers echoes can be neglected during inte...
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We present a method for deriving an automatic target recognition (ATR) system using geospatial features and a data Model populated decision architecture in the form of a self-organizing knowledge base. The goal is to ...
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ISBN:
(纸本)9780819481610
We present a method for deriving an automatic target recognition (ATR) system using geospatial features and a data Model populated decision architecture in the form of a self-organizing knowledge base. The goal is to derive an ATR that recognizes targets it has seen before while minimizing false alarms (zero false alarms). We present an investigation of the performance of analytical data Models as a sensor and data fusion process for automatic target recognition (ATR), and summarize results including on a 2 km background run where no false alarms were encountered.
This paper provides an alternative solution/means for conductor based communication system, specifically on a printed circuit board where multiple IC packages are selectively connected to each other through conductor ...
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In many physical effects and sensors in biomedical or engineering fields, it is often the case that some small non-linear characteristics are contained in the system. The previous paper treats approximation of non-lin...
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ISBN:
(纸本)9780819482952
In many physical effects and sensors in biomedical or engineering fields, it is often the case that some small non-linear characteristics are contained in the system. The previous paper treats approximation of non-linear filter bank.(10) But, a running approximation is not treated. In this paper, we establish a theory of a favorable interpolation approximation of running filter banks with non-linear analysis filters based on the one-to-one correspondence between errors in a wide but limited volume and a certain small volume in the variable domain. Some additional considerations about the optimum interpolation approximation are presented also.
In wildlife radio tagging, small radio transmitters attached to animals are located by human operators using directional antennas and analog receivers which provide audio output. The location of the transmitter is det...
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ISBN:
(纸本)9781424466757
In wildlife radio tagging, small radio transmitters attached to animals are located by human operators using directional antennas and analog receivers which provide audio output. The location of the transmitter is determined by listening to the signal and scanning the area while closing in. This procedure can be very tedious, especially in rough terrain. Searching radio tags with autonomous unmanned aerial vehicles (UAVs) offers a number of advantages, including better line-of-sight signal reception, terrain-independence and faster localization. In this paper we continue upon previous work by presenting a received-signal-strength (RSS) sensor implementation based on a modified commercial wildlife tracking receiver that is designed to operate on an autonomous fixed-wing UAV. Furthermore, an extension of the search and tracking framework for multiple targets that are undistinguishable from the sensors' point of view is proposed. After a brief system overview and a summary of the particle filter based approach, the signalprocessing theory and realization of the RSS sensor are outlined, including strategies for frequency tracking and receiver gain control. The paper also presents experimental results.
Researches on target detection are mainly focus on the amplitude characteristics nowadays. Sometimes the only use of amplitude characteristics is not enough to describe the signal, so that the target detection perform...
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This paper examines direct data domain (DDD) moving target detection for multi-channel space-based radar (SBR). DDD techniques differ from data-adaptive processing methods in that they do not rely on statistically sta...
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ISBN:
(纸本)9781424438884
This paper examines direct data domain (DDD) moving target detection for multi-channel space-based radar (SBR). DDD techniques differ from data-adaptive processing methods in that they do not rely on statistically stationary and homogeneous training data in order to estimate and null out clutter or interference and thereby reveal potential targets;instead, they operate on each range-Doppler cell independently, after any necessary preprocessing to compensate for platform motion and/or array calibration. Prior work examined a maximum-likelihood angle-of-arrival (AOA) technique and the associated target power estimator to detect slow moving targets. In this paper, we extend that methodology and propose novel detection manifolds for optimally partitioning the two-dimensional statistical space. The two dimensions are formed by the passive AOA likelihood function and the estimated target power. A computer simulation of a space radar system and associated geometry is used to assess the characteristics and performance of the new concept. We show that the two-dimensional probability densities corresponding to the target absent and target present hypotheses (H0 and H1, respectively) occupy regions in this space that are not optimally separated by independent thresholds. This immediately leads to the novel detection manifolds (or curved boundaries between detections and non-detections) that improve the detection probability while also reducing the false alarm rate.
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