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With the prevalence of the online to offline (O2O) commerce, the short-distance instant logistics service becomes increasingly popular in China, which is a new logistics model emerged recently and provides timely logistics for O2O local life service. Being different from traditional logistics, extra waiting time generates when order's pick-up location arrival time is early than its pick-up ready time,...
In this paper, a visible light communication (VLC) based orientation estimation algorithm is proposed for mobile device in indoor environments. The polar angle and azimuth angle measurements are first to be obtained from the existing image sensor and then to estimate the projection position of light emitting diodes (LEDs). By these project points, the orientation information can be estimated with...
This paper studies sequential estimation of indoor localization based on fingerprints of received signal strength indicators (RSSI). Due to the lack of an analytic formula for the fingerprinting measurements, the Kalman filter can not be directly applied. By introducing a hidden variable to represent the unknown positioning coordinate, a state model is formulated and a constrained Kalman filter (CKF)...
With emerging synchronized phasor measurement technology, estimating dynamic state in real time (post fault) for the grid operation become feasible. However, PMU measurements undergo random errors and bad data unavoidably caused by the sensor errors, disturbances, etc. The traditional centralized state estimation methods for power system static state are not applicable for the electro-mechanical transient...
This paper studies the wireless positioning method using digital TV (DTV) signals with orthogonal frequency division multiplex (OFDM) modulation. A novel pseudo range estimation method is proposed, which utilizes the synchronization modules in the data demodulation as the signal acquisition for the coarse time delay estimation and introduces a data-directed delay tracking mechanism for the fine time...
A fast and efficient algorithm is proposed to estimate the direction of arrival (DOA) of the signals impinging on an uniformly located linear array. Unlike the classical MUSIC method, it is not needed for the method proposed in this paper to have the number of the signal sources known as a prior knowledge. The proposed method only needs the forward recursions of multistage Wiener filter (MSWF) to...
This paper studies indoor Bluetooth network. wireless positioning using a network of Bluetooth signals. Fingerprints of received signal strength indicators are used for localization. Due to the relatively long interval between the available consecutive Bluetooth signal strength measurements, we propose a method of information filtering with speed detection, which combines the estimation information...
Pitch period is one of the most important parameters of speech signal. Different form traditional dynamic programming (DP) methods, voiced degree weighted sub-frame octave region parameter DP algorithm is proposed. Judge transition sound by sub-frame energy variation to diminish pitch hopping. Two groups of parameters were extracted within each frame respectively, and the primary pitch and octave...
Digital broadcasting signal has the unique advantages for wireless location. In this paper, the pseudo-range measurement method based on OFDM signals is introduced. A mathematical model for wireless location and tracking is presented, which exploits the feature of continuous signal transmission at a fixed rate in digital broadcasting systems. After analyzing the disadvantage of classical particle...
A fast digital image stabilization method based on morphological edge matching is proposed. Firstly, morphological edge detection and matching is used to estimate the local movement vectors calculated by logical correlation operator instead of pixel-wise gray arithmetic operators, the computation cost is greatly reduced. Secondly, in order to remove the undesired displacement due to several undesired...
This paper presents a distributed fermat-point range estimation strategy, which is important in the moving sensor localization applications. The fermat-point is defined as a point which minimizes the sum of distances from three sensors inside a triangle. This point is indeed at the trianglepsilas center of gravity. We solve the problems of large errors and poor performance in the bounding box algorithm...
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