Results 31 to 40 of about 14,931 (256)
Total Least Squares Method for Direction of Arrival Estimation [PDF]
Jisuanji gongcheng, 2019 In the Time Difference of Arrival(TDOA) positioning technology,when the position coordinates of the sensor have errors,the estimated value obtained by the Least Squares(LS) method no longer has the best unbiasedness,resulting in a decrease in the ...
WANG Hai, ZHANG Menghan, CUI Xunxue
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Direction-of-arrival estimation for constant modulus signals
IEEE Transactions on Signal Processing, 1999 In many cases where direction finding is of interest, the signals impinging on an antenna array are known to be phase modulated and, hence, to have a constant modulus (CM). This is a strong property; by itself, it is already sufficient for source separation and can be used to construct improved direction finding algorithms. We first derive the relevant
Leshem, A. (author) +1 more
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IEEE Access, 2018 To find the relative positional relationship accurately and efficiently without pre-installed infrastructure in emergent scenarios like firefighting, we proposed a rotating-anchor based indoor geolocation system using time of arrival (TOA) technique in ...
Liyuan Xu +5 more
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Spatially localized direction of arrival estimation
Proceedings : European Conference on Noise Control, 2018 Direction-of-arrival (DOA) estimation is a fundamental area of research in the field of array processing, as it applies in a variety of areas, including: sound field analysis, spatial sound reproduction and spatial filtering. There exists a plethora of DOA estimating algorithms, which all vary in terms of accuracy and computational complexity.
Delikaris-Manias, Symeon +3 more
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Adaptive Measurement Matrix Design in Direction of Arrival Estimation
IEEE Transactions on Signal Processing, 2022 Advances in compressed sensing (CS) theory have brought new perspectives to encoding and decoding of signals with sparse representations. The encoding strategies are determined by measurement matrices whose design is a critical aspect of the CS applications.
Berkan Kilic +3 more
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Quantum approach to direction of arrival estimation
Технологія та конструювання в електронній апаратуріThe article analyses methods for determining the direction of arrival (DOA) of radio signals, particularly the MUSIC and ESPRIT algorithms. It is shown that the complexity of traditional approaches grows cubically with the number of antennas, which ...
Oleksandr Usatyi, Ivan Horbatyi
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Direction of arrival estimation using nonsingular spherical ESPRIT [PDF]
The Journal of the Acoustical Society of America, 2018 The eigenbeam-ESPRIT (EB-ESPRIT) is a parametric method that estimates the direction of arrival of source signals using a recurrence relation of spherical harmonics. In EB-ESPRIT, the sound-source elevation angle is estimated from an arctangent function, which diverges near the equator in the spherical coordinate system and inevitably induces an ill ...
Byeongho, Jo, Jung-Woo, Choi
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Direction of arrival estimation for BLE: Antenna array design and evaluation
AEU - International Journal of Electronics and Communications, 2023 The use of smart antenna arrays in wireless communication systems is becoming increasingly popular, as they improve the performance of the radio link and allow the integration of communication and sensing functions. In this paper, we present the design and performance evaluation of a uniform circular antenna array (UCAA) with 12 monopole antennas and ...
Aleš Simončič +3 more
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Direction of Arrival Estimation Using Augmentation of Coprime Arrays
Information, 2018 Recently, direction of arrival (DOA) estimation premised on the sparse arrays interpolation approaches, such as co-prime arrays (CPA) and nested array, have attained extensive attention because of the effectiveness and capability of providing higher ...
Tehseen Ul Hassan +3 more
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Direction-of-Arrival Estimation With Planar Luneburg Lens and Waveguide Metasurface Absorber
IEEE Access, 2023 Direction of arrival (DOA) estimation using array antennas is known to have high resolution. However, these algorithms require high computational resources.
Aya Ohmae, Satoshi Yagitani
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