SONG He-ping, WANG Guo-li. Sparse target tracking in RF sensor networks based on greedy reconstruction[J]. 2013, 32(11): 25-28. DOI: 10.13873/j.1000-97872013.11.022.
Device-free motion tracking in RF sensor networks using received signal strength( RSS) is an emerging technology. Since the motion scene to be reconstructed can often be assumed sparse
i. e
it consists only a few targets
the compressed sensing( CS) technology can be applied. Present target tracking as a signal reconstruction problem of CS and present greedy detection estimation( GDE) algorithm to resolve target location. Meanwhile
design a feedback tracking method which utilizes prior location informations of targets to reduce amount of measurements in signal reconstruction. Through experiment
it verifies that the GDE can obtain good result of signal construction
in addition
it is more accurate in target tracking application.
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references
Iterative hard thresholding for compressed sensing [J] . Thomas Blumensath,Mike E. Davies. Applied and Computational Harmonic Analysis . 2009 (3)