Conformal array is attractive due to its flexibility to attach to different shape of surface. However, beam pattern synthesis for conformal array to control power side lobes and different polarization components for t...
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ISBN:
(纸本)9781728119465
Conformal array is attractive due to its flexibility to attach to different shape of surface. However, beam pattern synthesis for conformal array to control power side lobes and different polarization components for two dimensional angle space is a challenge, especially the degree of freedom is limited. In this work, we propose a robust beam pattern synthesis formulation for conformal array based on constrained convex optimization. By penalizing the maximum gain of cross-polarization component levels, power side lobes and different polarization components are controlled in a manner that the number of constraints is no longer limited by the array DoF. The proposed formulation is a convex second-order cone programming, a computationally efficient algorithm based on the alternating directions of multipliers method is designed to solve it. Simulations demonstrate the effectiveness of the proposed formulation to synthesize a desired pattern with robustness.
Radar obtains its parameters on an estimation grid whose cell size is related to resolution of underlying radar processing. Existing radar exploits a regular grid (i.e. constant resolution) although the resolution cha...
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ISBN:
(纸本)9781479914814
Radar obtains its parameters on an estimation grid whose cell size is related to resolution of underlying radar processing. Existing radar exploits a regular grid (i.e. constant resolution) although the resolution changes with stronger echoes at shorter ranges. We compute radar resolution from the intrinsic geometrical structure of data models that is characterized by the Fisher information. Based on this information-geometry approach, we create an estimation grid whose cells have a constant information distance. In addition, we explore how such an irregular estimation grid can suit radar processing in practice, and propose applying the information-based grid with the sparse-signalprocessing from compressive sensing. This novel radar processing is applied in an one-dimensional case of range estimation, with emphasis on the grid effects to the sensing incoherence. Results reveal the new flexibility in radar design.
An instance crucial to most problems in signalprocessing is the selection of the order of a candidate model. Among the different exciting criteria, the two most popular model selection criteria in the signal processi...
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ISBN:
(纸本)1424403081
An instance crucial to most problems in signalprocessing is the selection of the order of a candidate model. Among the different exciting criteria, the two most popular model selection criteria in the signalprocessing literature have been the Akaike's criterion AIC and the Bayesian Information criterion BIC. These criteria are similar in form in that they consist of data and penalty terms. Different approaches have been used used to derive these criteria. However, none of them take into account the prior information concerning the parameters of the model. In this paper, an new approach for model selection, that takes into account the prior information on the model parameters, is proposed. Using the proposed approach and depending on the nature of the prior on the model parameters, two new information criteria are proposed for univariate linear regression model selection. We use the term 'information criteria" because their derivation is based on the Kullback-Leibler divergence.
We consider the problem of selecting anchors for sensor network localization to optimize a metric of the error covariance of the position estimates. We show that an interesting metric is a modular set function, which ...
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ISBN:
(纸本)9781479914814
We consider the problem of selecting anchors for sensor network localization to optimize a metric of the error covariance of the position estimates. We show that an interesting metric is a modular set function, which allows a globally optimal selection to be obtained using a simple greedy algorithm. We also consider a separate but related problem of choosing a subset of distance measurements between pairs of sensors to optimize a metric of the error covariance. We utilize again modularity properties of an associated set function to construct networks with desirable algebraic rigidity properties. The results are illustrated via numerical examples, which scale to problems beyond the capabilities of current state-of-the-art convex relaxation techniques.
In this paper we focus on the energy detector for decision fusion in wireless sensor networks over multiple access channels. More specifically, we derive analytical performance in terms of global probability of false ...
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ISBN:
(纸本)9781479914814
In this paper we focus on the energy detector for decision fusion in wireless sensor networks over multiple access channels. More specifically, we derive analytical performance in terms of global probability of false alarm and detection (including asymptotic performance for large number of sensors) when the fading is a Ricean mixture, i.e. channel coefficients are sampled from a Gaussian mixture (GM) distribution. The motivation for the GM is the ability to model real-world scenarios while keeping mathematical tractability. Analytical results are confirmed through numerical simulations.
In this paper, we propose a method for recovering and classifying WSN data while minimizing the number of samples that need to be acquired, processed, and transmitted. The problem is formulated according to the recent...
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ISBN:
(纸本)9781467310710
In this paper, we propose a method for recovering and classifying WSN data while minimizing the number of samples that need to be acquired, processed, and transmitted. The problem is formulated according to the recently proposed framework of Matrix Completion (MC), which asserts that a low rank matrix can be recovered from a small number of randomly sampled entries. The application of MC in WSN data is motivated by the assumption that sensory data exhibit intra-sensor correlations and that these data can be represented using known examples. We formulate the problem as that of recovering the low rank measurement matrix by encoding the contributions of known examples, the dictionary elements, for reconstructing and classifying the data. Experimental results using artificial data suggest that the proposed scheme is able to accurately reconstruct and classify the sensory data from a small number of measurements.
This paper proposes a novel wideband structure for arraysignalprocessing. A new wideband model is formed where the observations are linear functions of the source amplitudes, but nonlinear in the direction of arriva...
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ISBN:
(纸本)0780375513
This paper proposes a novel wideband structure for arraysignalprocessing. A new wideband model is formed where the observations are linear functions of the source amplitudes, but nonlinear in the direction of arrival (DOA) parameters. The method lends itself well to a Bayesian approach for jointly estimating the model order and the DOAs through a reversible jump Markov chain Monte Carlo (MCMC) procedure. The source amplitudes are estimated through a maximum a posteriori (MAP) procedure. The DOA estimation performance of the proposed method is compared with the theoretical Cramer-Rao lower bound (CRLB) for this problem. Simulation results demonstrate the effectiveness and robustness of the method.
The 2-D angular resolution limit for array radar with ultrawideband (UWB) stochastic signals based on the statistical resolution theory is presented in this paper. The signal model of monostatic array radar with circu...
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ISBN:
(纸本)9781479914814
The 2-D angular resolution limit for array radar with ultrawideband (UWB) stochastic signals based on the statistical resolution theory is presented in this paper. The signal model of monostatic array radar with circular array configuration and UWB stochastic signals is established, while the resolution of two closely spaced targets is modelled as a binary hypothesis test. The statistical angular resolution limit (SARL) for array radar with UWB stochastic signals is derived based on the generalized likelihood ratio test (GLRT) with given probabilities of false alarm and detection. The effects of detection parameters, transmit waveforms, array geometry, signal-to-noise ratio and parameters of target on SARL are analysed. Compared with the conventional resolution defined by ambiguity function, the SARL reflects the practical resolution ability of radar and can provide an optimization criterion for radar system design.
In this paper the working principle of the human eye is studied since uses very simple detectors, cones and rods, to provide an impressive high angular resolution without using any kind of scanning technique. Usually ...
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ISBN:
(纸本)1424403081
In this paper the working principle of the human eye is studied since uses very simple detectors, cones and rods, to provide an impressive high angular resolution without using any kind of scanning technique. Usually the resolution capability of the human eyes has been attributed to the complexity of the brain, but it is quite difficult to understand that something, specially small details, that it has not been seen by the eyes could be generated by the brain. Finally, it will be proved that with the actual technology and design philosophy of array antenna systems, the maximum achievable angular resolution of a realistic antenna array system is seriously limited and it is equivalent to the one that it could have an insect with compound eyes. It is clear the human eye is able to overcome this limit, and the idea is to learn how to introduce this to the design procedure of antenna array systems.
A general procedure for designing two-dimensional velocity filters, based on array filters derived originally for multichannel (multiple-input single-output) processing of the recordings of an array of sensors, is pre...
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A general procedure for designing two-dimensional velocity filters, based on array filters derived originally for multichannel (multiple-input single-output) processing of the recordings of an array of sensors, is presented. The mathematical expressions needed for implementation of the filters using the two-dimensional fast Fourier transform are derived. A specific derivation of the velocity filters, based on a family of multichannelarray filters obtained recently for attenuating a coherent interference in the array recordings, is carried out in detail. Two examples illustrating the performance of these velocity filters are also presented.
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