The conventional time reversal imaging (TRI) method builds
imaging function by using the maximal valueofsignalamplitude.
Inthiscircumstance,someremotetargetsaremissed(near-farproblem)or low resolution
is obtained in lossy and/or dispersive media, and too many transceivers are
employed tolocatetargets,whichincreasesthecomplexityandcostofsystem. Tosolvetheseproblems,anovel
TRI algorithm is presented in this chapter. In order to achieve a high
resolution, the signal amplitude corresponding to focal time observed at target
position is used to reconstruct the target image. For disposing near-far
problem and suppressing spurious images, combining with cross-correlation
propertyandamplitudecompensation,channelcompensationfunction(CCF)isintroduced.
Moreover, the complexity and cost of system are reduced by employing only five
transceivers to detect four targets whose number is close to that of
transceivers. For the sake of demonstrating the practicability
oftheproposedanalyticalframework,thenumericalexperimentsareactualizedbothinnondispersivelossless
(NDL) media and dispersive-conductive (DPC) media. Results show that the
performance of the proposed method is superior to that of conventional TRI
algorithm even under few echo signals.
Author(s) Details
Author(s) Details
Bing Li
SchoolofElectronicandInformationEngineering,SouthChinaUniversityofTechnology,Guangzhou, 510641, China.
Bin-Jie Hu SchoolofElectronicandInformationEngineering,SouthChinaUniversityofTechnology,Guangzhou, 510641, China.
View Book :- http://bp.bookpi.org/index.php/bpi/catalog/book/210
SchoolofElectronicandInformationEngineering,SouthChinaUniversityofTechnology,Guangzhou, 510641, China.
Bin-Jie Hu SchoolofElectronicandInformationEngineering,SouthChinaUniversityofTechnology,Guangzhou, 510641, China.
View Book :- http://bp.bookpi.org/index.php/bpi/catalog/book/210
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