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.
SchoolofElectronicandInformationEngineering,SouthChinaUniversityofTechnology,Guangzhou, 510641, China.
Bin-Jie Hu SchoolofElectronicandInformationEngineering,SouthChinaUniversityofTechnology,Guangzhou, 510641, China.
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