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483 results about "Multipath effect" patented technology

Multipath Effect. Multipath effect is the distortion in measurement or information accuracy that results from multipath signals. Multipath is the propagation of a radio signal through multiple paths for which part of the signal energy is received before another part of the signal is received that is delayed in time.

Wireless and ultrasonic composite location system and location method for wireless and ultrasonic composite location system

The invention provides a wireless and ultrasonic composite location system and a location method for the wireless and ultrasonic composite location system, wherein the wireless and ultrasonic composite location system comprises a plurality of beacon modules with fixed positions, at least one mobile location module and an electronic location platform; each of the beacon modules comprises a first wireless receiving and sending module, an ultrasonic transmitting module and a first intelligent processing module; the mobile location module is arranged on a mobile object, and comprises a second wireless receiving and sending module, an ultrasonic receiving array, an array processing module and a central processer; the electronic location platform is used for building an electronic map and sending the electronic map to the mobile location module, and is also used for coordinating the synchronization of the beacon modules and the mobile location module. The invention also comprises the location method for the wireless and ultrasonic composite location system. By adopting the system and the method, the problems of multipath effect and none-line-of-sight are solved, the measurement precision is improved, and the theoretical precision of less than 0.1mm can be reached.
Owner:长沙开山斧智能科技有限公司

Indoor localization method based on clustering algorithm analytical data optimization

The invention relates to an indoor localization method based on clustering algorithm analytical data optimization, which is used for carrying out accurate localization on an unknown node in a complex index environment. The indoor localization method comprises the steps of: executing an RSSI (Received Signal Strength Indicator) signal processing optimization strategy, i.e., optimizing an RSSI value by using a clustering analysis Gaussian hybrid filtering model so as to eliminate the problems of dispersed intersection and serious jitter of the RSSI value, which exist due to factors of a multipath effect, a barrier and the like, and obtain one more reliable and reasonable RSSI value; adopting a fitting RSSI distance measurement model, i.e., according to an RSSI-distance conversion curve, carrying out fitting of the curve by adopting a least square method so as to obtain a logarithm path loss model suitable for a current environment; and then estimating out position information of the unknown node by using a weighted centroid localization algorithm. According to the indoor localization method disclosed by the invention, by an optimal RSSI distance measurement algorithm, accuracy of localization and distance measurement is improved, so that adaptability and localization accuracy of the localization algorithm are improved; and the indoor localization method is suitable to apply and popularize in the complex indoor environment.
Owner:TIANJIN UNIV

Passive positioning method for combining RSSI and pattern matching

The invention discloses a passive positioning method for combining received signal strength indication (RSSI) and pattern matching, which mainly solves the problem that the conventional passive positioning method has low positioning precision due to the influence of multipath effect in a wireless sensor network. The method comprises the following steps of: (1) gridding network rules, detecting a channel by using single pulse signals, and calculating the fading characteristic value of the channel; (2) selecting 4 reference receivers according to the magnitude of average received signal intensity of each receiver and the relative position; (3) randomly selecting two receivers during positioning, calculating the average received signal intensity difference delta Pr of the two receivers and the fading characteristic differences delta Loss from the grids to the receivers; (4) matching the fading characteristic differences delta Loss of all grids and the opposite number -delta Pr of the average received signal intensity difference; and (5) repeating the steps (3) to (4) for three times, and taking the center of the grid with highest average matching degree as the positioning result. Themethod can still ensure high precision under the influence of the multipath effect, improves the precision of the conventional positioning method, and can be used for passive positioning of the wireless sensor network in an urban environment.
Owner:XIDIAN UNIV
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