Abstract: The present disclosure relates to a data processing method, a data processing apparatus, and related products. The data processing apparatus includes an address determining unit and a data storage unit. The address determining unit is configured to determine a source data address and a plurality of discrete destination data addresses of data corresponding to a processing instruction when the decoded processing instruction is a discrete store instruction, where the source data address may include continuous data addresses.

Abstract: A data processing method and apparatus, and a related product. The data processing method comprises: when a decoded processing instruction is a vector extension instruction, determining a source data address, a destination data address and an extension parameter of data corresponding to the processing instruction; according to the extension parameter, extending first vector data of the source data address, so as to obtain extended second vector data; storing the second vector data to the destination data address, wherein the source data address and the destination data address comprise consecutive data addresses. Vector extension and storage are implemented by means of an extension parameter in a vector extension instruction, so as to obtain extended vector data, thereby simplifying processing, and reducing data overhead.

Abstract: Example positioning techniques include: generating an initial particle set, randomly allocating different moving step lengths for each particle in the initial particle set, updating position information of each particle at a previous moment to obtain a current particle set, rating usability of each particle according to position information of each particle in the current particle set and a signal fingerprint received at a current moment, acquiring a moving step length of each particle having a rating higher than a first predetermined threshold in the current particle set, and updating a moving step length of each particle having a rating lower than the first predetermined threshold according to the acquired moving step length. The techniques of the present disclosure obtain a moving step length closest to the actual step length of a person, and update the moving step length in time with the change of the step length of the person.

Abstract: Example positioning techniques include: generating an initial particle set, randomly allocating different moving step lengths for each particle in the initial particle set, updating position information of each particle at a previous moment to obtain a current particle set, rating usability of each particle according to position information of each particle in the current particle set and a signal fingerprint received at a current moment, acquiring a moving step length of each particle having a rating higher than a first predetermined threshold in the current particle set, and updating a moving step length of each particle having a rating lower than the first predetermined threshold according to the acquired moving step length. The techniques of the present disclosure obtain a moving step length closest to the actual step length of a person, and update the moving step length in time with the change of the step length of the person.

Abstract: Example positioning techniques include: generating an initial particle set, randomly allocating different moving step lengths for each particle in the initial particle set, updating position information of each particle at a previous moment to obtain a current particle set, rating usability of each particle according to position information of each particle in the current particle set and a signal fingerprint received at a current moment, acquiring a moving step length of each particle having a rating higher than a first predetermined threshold in the current particle set, and updating a moving step length of each particle having a rating lower than the first predetermined threshold according to the acquired moving step length. The techniques of the present disclosure obtain a moving step length closest to the actual step length of a person, and update the moving step length in time with the change of the step length of the person.

Abstract: Example positioning techniques include: generating an initial particle set, randomly allocating different moving step lengths for each particle in the initial particle set, updating position information of each particle at a previous moment to obtain a current particle set, rating usability of each particle according to position information of each particle in the current particle set and a signal fingerprint received at a current moment, acquiring a moving step length of each particle having a rating higher than a first predetermined threshold in the current particle set, and updating a moving step length of each particle having a rating lower than the first predetermined threshold according to the acquired moving step length. The techniques of the present disclosure obtain a moving step length closest to the actual step length of a person, and update the moving step length in time with the change of the step length of the person.

Abstract: A Bluetooth-based positioning method and an apparatus thereof are disclosed. The method includes a mobile terminal receiving a Bluetooth signal transmitted by at least one Bluetooth beacon device; obtaining a media access control (MAC) address of each Bluetooth beacon device according to the received Bluetooth signal, and selecting Bluetooth beacon devices having a respective MAC address as a first MAC address to be reference devices; obtaining a Bluetooth signal strength and a broadcast beacon identifier of each reference device; and calculating a position of the mobile terminal according to the obtained Bluetooth signal strength and the obtained broadcast beacon identifier of each reference device.