Conventional MUSIC (MUltiple signal Classification)rraethod, which is a well-known super-resolution technique that employs amonostatic configuration, degrades severely when themultiple targets are deterministic becaus...
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ISBN:
(纸本)1424403081
Conventional MUSIC (MUltiple signal Classification)rraethod, which is a well-known super-resolution technique that employs amonostatic configuration, degrades severely when themultiple targets are deterministic because the rank of the covariancematrix collapses to the value of one regardless of the number of targets. FRM (Frequency Response Matrix) [2, 7], with its multistatic configuration, is also a super-resolution technique and can complament, MUSIC in the target randomness spectrum. this paper demonstrates that conventional MUSIC performs better for targets with strongly random (complex) amplitudes and FRM performs better for target with weakly random amplitudes (best for deterministic amplitudes).
Multifunction phased array systems with radar, telecom, and imaging applications have already been established for flat plate phased arrays of dipoles, or waveguides. In this paper the design trades and candidate opti...
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ISBN:
(纸本)1424403081
Multifunction phased array systems with radar, telecom, and imaging applications have already been established for flat plate phased arrays of dipoles, or waveguides. In this paper the design trades and candidate options for combining the radar and telecom functions of the deep space network (DSN) into a single large transmit array of small parabolic reflectors will be discussed. In particular the effect of combing the radar and telecom functions on the sizes of individual antenna apertures and the corresponding spacing between the antenna elements of the array will be analyzed. A heterogeneous architecture for the DSN large transmit array is proposed to meet the radar and telecom requirements while considering the budget, scheduling, and strategic planning constrains.
Recently, the authors proposed a miniaturized microphone array not utilizing the phase difference but utilizing the directivity of each microphone, namely aggregated microphones. We have already showed that the phased...
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ISBN:
(纸本)1424403081
Recently, the authors proposed a miniaturized microphone array not utilizing the phase difference but utilizing the directivity of each microphone, namely aggregated microphones. We have already showed that the phased microphone array and the aggregated microphones can be described within the same framework. We have also showed that it is possible to apply the aggregated microphones to the various methods of the phased microphone array. However, the difference of the performance between the phased array and the aggregated microphones has not been evaluated yet. the effect of the directivity and the posture of each microphone on the performance of the aggregated microphones has not also been evaluated yet. In this paper, we evaluate the performance of DCMP (Directionally Constrained Minimization of Power) adaptive array utilizing aggregated microphones.
Source location accuracy can be dramatically degraded by the inaccuracy in the sensor positions. the sensor position errors need to be taken into account in order to improve the source location estimate. this paper pr...
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ISBN:
(纸本)1424403081
Source location accuracy can be dramatically degraded by the inaccuracy in the sensor positions. the sensor position errors need to be taken into account in order to improve the source location estimate. this paper presents an algorithm based on the Taylor-series technique to estimate the location of an emitting source in the presence of random sensor position errors, where the data measurements are angle-of-arrivals (AoAs). the proposed algorithm jointly estimates the source and sensor positions iteratively by using Taylor-series linearization. Simulation results indicate that the proposed method approaches the CRLB accuracy for both near-field and far-field sources.
In this paper, an alternative Target Density Function (TDF) is proposed to image the radar targets in a dense target environment. It is obtained by considering a novel range and scanning angle plane different from the...
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ISBN:
(纸本)1424403081
In this paper, an alternative Target Density Function (TDF) is proposed to image the radar targets in a dense target environment. It is obtained by considering a novel range and scanning angle plane different from the conventional methods. An alternative method is briefly proposed for smoothing the target density function by taking advantage of Walsh functions. Although the imaging is obtained via the phased array radars, the problem associated with beamforming in linear phased array radar system is bypassed in this new algorithm.
We describe a method of tuning a simple detection process of stationary targets in SAR images. the tuning metric accounts for the squared-error performance of prescient estimators of target location and reflectivity. ...
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ISBN:
(纸本)1424403081
We describe a method of tuning a simple detection process of stationary targets in SAR images. the tuning metric accounts for the squared-error performance of prescient estimators of target location and reflectivity. the efficiencies of these prescient estimators are compared to their Cramer Rao bounds (CRBs). the off-line tuning is performed by collecting statistics of scatterer estimation in SAR images created using sparse-array spotlight mode simulations.
We propose a method of indoor localization using arraysensors. this method uses not only the signal strengths of received signals, but also the spatial information of impinging signals on arraysensors. the signal su...
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ISBN:
(纸本)1424403081
We propose a method of indoor localization using arraysensors. this method uses not only the signal strengths of received signals, but also the spatial information of impinging signals on arraysensors. the signal subspaces, which include information about the strengths and angles of arrival of impinging signals on the arraysensors, are used to identify the location of the terminal. We use the cosines of the principal angles between the signal subspaces of the spatial covariance matrices of the signals received at an array antenna to measure the similarity between signals transmitted from two locations. We conducted an experiment indoors to confirm the validity and effectiveness of our method. the experimental results confirm its effectiveness.
In this paper we propose an algorithm for angle and polarization estimation of non-coherent sources using real-world polarimetric antenna arrays. In order to construct an accurate model of an antenna array, we exploit...
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ISBN:
(纸本)1424403081
In this paper we propose an algorithm for angle and polarization estimation of non-coherent sources using real-world polarimetric antenna arrays. In order to construct an accurate model of an antenna array, we exploit its Effective Aperture Distribution Function (EADF). this model contains information on the array response for a vertical and horizontal excitation, the directional characteristic of each element, and array imperfections. Here, we propose a method stemming from the RARE (RAnk-Reduction Estimator) algorithm. It performs fast (search-free) DoAs and polarization coefficients estimation. throughout simulation results, we verify that the algorithm has close to optimal statistical performance with polarimetric real-world arrays. We present the statistical performance for three different array configurations.
Local processing on the nodes of a distributed sensing and processing system has the benefits of reducing the data volume transferred from the nodes to the fusion center, reducing both transmission power requirements ...
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ISBN:
(纸本)1424403081
Local processing on the nodes of a distributed sensing and processing system has the benefits of reducing the data volume transferred from the nodes to the fusion center, reducing both transmission power requirements and the computational burden on the fusion center. the individual nodes obtain measurements from the environment and transmit a quantized detection statistic to the fusion center. Quantization threshold levels need to be found for each sensorthat maximize the performance of the system. We propose a global optimization method, the particle filtering optimization method, that uses particle filtering to propagate the values of the thresholds of a distributed detection system to sensorthreshold values that are optimal with respect to some measure of system performance. We demonstrate, through simulations, the effectiveness of the particle filtering optimization method in finding the threshold of each of the sensors used in detection scenario.
For low frequency observations (< 300 MHz) the radio astronomical community is currently developing a number of new instruments such as the low frequency array (LOFAR), the Mileura wide field array (MWA) and the pr...
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ISBN:
(纸本)1424403081
For low frequency observations (< 300 MHz) the radio astronomical community is currently developing a number of new instruments such as the low frequency array (LOFAR), the Mileura wide field array (MWA) and the primeval structure telescope (PaST). these telescopes require new calibration algorithms since phased arrays require an all-sky approach to imaging and calibration. this implies that the calibration will generally have to deal with a multitude of sources. In this paper we will discuss a muldsource calibration method to estimate the gains and phases of the receiving elements without having to solve for the receiver noise powers at the same time. Our method is able to handle arbitrary known source models. We will show that the proposed algorithm is asymptotically efficient by comparing the results from Monte Carlo simulations withthe Craimer-Rao bound for the underlying data model.
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