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    Chain structure Bluetooth scatternet topology formation algorithm and performance simulations by YANG Fan, WANG Ke, QIAN Zhi-hong

    Published 2006-01-01
    “…A novel chain structure Bluetooth scatternet algorithm for topology formation was presented:all Bluetooth nodes turn into INQUIRY or INQUIRY SCAN states with identical probability,0.5,then set point-to-point connections up simultaneously.As a result,as large as possible numbers of temporary piconets were made up,and furthermore,some larger piconets and groups composed of several piconets were made up through varieties of merging and recomposing repeatedly.Finally,a chain structure scatternet bearing only one group were formed by operating the algorithm after several times.Simulations and performance analysis indicate that the scatternet formed by this algorithm has excellent characteristics:comparably less number of piconets,less average number of roles every node and less number of maximum degree of nodes,shorter networking establishment time,easier to maintain topology dynamically and dispensable for all nodes to be in communication range,etc.The algorithm can be used for Bluetooth scatternet topology formation.…”
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    Reverberation multi-source localization algorithm based on compressed sensing with dual microphones by Yi ZHANG, Juan LI, Min ZHANG

    Published 2019-01-01
    “…In traditional multi-source localization field,it is necessary to guarantee that the number of microphone is more than the number of source.To overcome this constraint,a dual-microphone multi-source localization algorithm based on CS was proposed,where the number of sound source localized successfully was more than 3.The multi-source localization was regarded as the block sparse signal reconstruction in this algorithm,and the full room impulse responses normalized were exploited to construct the compressed observation matrix in frequency domain.In reconstructed block sparse signal,the positions of non-zero blocks were corresponded to the positions of sound sources in space.The simulation shows that compared with the SRP-sub algorithm,in reverberation time 0.6s with dual-microphone,the proposed multi-source localization algorithm based on compressed sensing has higher capability which can reach 80% success rate by using 40 frequency points to localize 3 sound sources.…”
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