نتایج جستجو برای: time difference of arrival tdoa
تعداد نتایج: 21280699 فیلتر نتایج به سال:
GNSS is well known for its availability and accuracy but it suffers when operating in urban canyons, indoors as well as environments such as ports. This paper uses Time Difference of Arrival (TDOA) measurements from two satellites over time to calculate the position of the receiver. The system was tested by masking out satellites to simulate buildings or objects along both sides blocking large ...
In this paper, we focus on the localization of a passive source from time difference arrival (TDOA) measurements. TDOA values are computed with respect to pairs fixed sensors that required be accurately time-synchronized. This constitutes weakness as all synchronization techniques vulnerable delay injections. Attackers able either spoof signal or inject asymmetric delays in communication channe...
We consider a sensor network, which in the presence of a rogue sensor, is tasked with estimating emitter location under the time difference of arrival (TDOA) method. The rogue seeks to maximally degrade estimation accuracy by injecting a single false report of sensor position. Our closed form solution gives a set of false positions that minimize the network’s Fisher Information Matrix (FIM). We...
This paper deals with the 3-D moving source localization using time difference of arrival (TDOA), frequency (FDOA), angle (AOA) and AOA rate measurements, gathered from a set spatially distributed receivers. The TDOA, FDOA, measurement equations were firstly established according to space geometric relationship relative Then an efficient closed-form algorithm for position velocity estimation qu...
Direction of Arrival (DOA) estimation is an important technique for speech perception and speaker localization, which has received much attention in recent years. However, most conventional methods concentrate on noisy environments, which leads to serious degradation of their performance in the presence of reverberation. To resolve this phenomenon, a novel approach based on reverberation weight...
The application of long baseline aided strap-down inertial navigation system (SINS/LBL) has been demonstrated to be an effective solution for accumulative position errors underwater vehicles (UVs). To address the inefficient positioning when available hydrophones are few in acoustic array, a hybrid tightly-coupled SINS/LBL is presented system. composed SINS, LBL and pressure sensor (PS). model ...
Cognitive Radio Network (CRN) is an emerging technology used to solve spectrum shortage problems in wireless communications. In CRN, unlicensed secondary users (SUs) and licensed primary (PUs) use resources at the same time by avoiding any interference from SUs. However, sensing process CRN often disturbed a security issue known as Primary User Emulation Attack (PUEA). PUEA one of main issues t...
This article is focused on a problem of the error estimation of the radar signal source localization by the TDOA (Time Difference of Arrival) method. More precisely, it is focused on the finding and solving of an analytical equation (error equation) that describes the source position error without any mathematical simplifications and approximations. The solution of this analysis is the covarian...
The Time Difference of Arrival (TDOA) method has been widely used for sound source localization. However, because of the Doppler-effect, the TDOA method cannot be directly used for locating moving sound sources. This paper develops a moving sound source localization method based on TDOA, combining with Doppler-effect elimination and source plane scanning. This method is suitable for locating so...
the rationale behind the present study is that particular learning strategies produce more effective results when applied together. the present study tried to investigate the efficiency of the semantic-context strategy alone with a technique called, keyword method. to clarify the point, the current study seeked to find answer to the following question: are the keyword and semantic-context metho...
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