نتایج جستجو برای: دقت تخمین doa

تعداد نتایج: 45556  

Journal: :Remote Sensing 2017
Yeping Lai Hao Zhou Yuming Zeng Biyang Wen

High-frequency (HF) radars are routinely used for remotely sensing ocean surface currents. However, the performance of the most widely used direction-finding HF radar is degraded due to the effect of the inevitable deviations of actual antenna pattern on the direction of arrival (DOA) estimation. In this paper, we quantify the DOA estimation error resulting from the deviation of the actual ante...

2015
Zhicheng Zhang Jun Lin Yaowu Shi

Maximum Likelihood (ML) method has an excellent performance for Direction-Of-Arrival (DOA) estimation, but a multidimensional nonlinear solution search is required which complicates the computation and prevents the method from practical use. To reduce the high computational burden of ML method and make it more suitable to engineering applications, we apply the Artificial Bee Colony (ABC) algori...

2013
Jian-Feng Gu

Direction of Arrival Estimation and Tracking with Sparse Arrays Jian-Feng Gu, Ph.D. Concordia University, 2013 Direction of Arrival (DOA) estimation and tracking of a plane wave or multiple plane waves impinging on an array of sensors from noisy data are two of the most important tasks in array signal processing, which have attracted tremendous research interest over the past several decades. I...

2010
Duc Thanh Chau Junfeng Li Masato Akagi

Direction of arrival (DOA) estimation plays an important role in multi-channel (binaural) speech enhancement systems and auditory humanoid robots. A number of localization methods have been presented, however, most of them require a large array of microphones, or cannot adapt to some special conditions, e.g., humanoid robot with the effect of headrelated transfer function (HRTF). In this paper,...

2003
Yusuke Hioka Nozomu Hamada

In this contribution, we propose a DOA (Direction Of Arrival) estimation method of speech signal whose angular resolution is almost uniform with respect to DOA. Our previous DOA estimation method[1] achieves high precision with only two microphones, however its resolution degrades as the propagating direction apart from the array broadside. In the proposed method, the equilateral-triangular mic...

2010
K Radhakrishnan A Unnikrishnan

This paper investigates the possibility estimating the direction of arrival (DOA) in a system identification perspective. The system is modeled as an autoregressive (AR) process and extended Kalman filter (EKF) is used to estimate the DOA, which forms a state of the augmented state vector of the EKF. The states generate the signals at a linearly phased array. Simulation results demonstrate the ...

2017
Chunyan Liao Neil Ashley Alan Diot Karl Morten Kanchan Phadwal Andrew Williams Ian Fearnley Lyndon Rosser Jo Lowndes Carl Fratter David J.P. Ferguson Laura Vay Gerardine Quaghebeur Isabella Moroni Stefania Bianchi Costanza Lamperti Susan M. Downes Kamil S. Sitarz Padraig J. Flannery Janet Carver Eszter Dombi Daniel East Matilde Laura Mary M. Reilly Heather Mortiboys Remko Prevo Michelangelo Campanella Matthew J. Daniels Massimo Zeviani Patrick Yu-Wai-Man Anna Katharina Simon Marcela Votruba Joanna Poulton

OBJECTIVE To investigate mitophagy in 5 patients with severe dominantly inherited optic atrophy (DOA), caused by depletion of OPA1 (a protein that is essential for mitochondrial fusion), compared with healthy controls. METHODS Patients with severe DOA (DOA plus) had peripheral neuropathy, cognitive regression, and epilepsy in addition to loss of vision. We quantified mitophagy in dermal fibro...

2011
Wenlong Liu Qian Liu Minglu Jin Jae Moung Kim Shuxue Ding

The MUltiple SIgnal Classification (MUSIC) algorithm for DoA is known to degrade due to imprecise knowledge about the array manifold. In this paper, we present a theorem to show how imprecise knowledge affects the performance of the MUSIC algorithm. This theorem proves that performance of the MUSIC algorithm degrades less if the array responses of the sources impinging on the array are less cor...

Journal: :IEEE Trans. Signal Processing 1998
David Astely Björn E. Ottersten

In wireless communication scenarios, multipath propagation from local scatterers in the vicinity of mobile sources may cause angular spreading as seen from a base station antenna array. This paper studies the effects of such local scattering on direction of arrival (DOA) estimation with the MUSIC and ESPRIT algorithms. Previous work has considered rapidly time-varying scenarios, and concluded t...

2016
Pallavi Agrawal Madhu Shandilya HongY Wang Xianda Zhang Zheng Bao Harry B. Lee Fei Wen Qun Wan Rong Fan Hewen Wei Demba E. Ba Dinei Florencio

Over the past decades there has been technological breakthrough from analog to digital. Ever since the world war and also the invention of electromagnetic radio, there has always been an urge to know from which direction the signals were arriving to the listener’s direction finding receiver. The methodology of determining the direction of arrival (DOA) of incoming signals impinging on the unifo...

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