Time　reversal　(TR)　concept　is　widely　used　for　Lamb　wave-based　damage　detection.　However,　the　time　reversal　process　(TRP)　faces　the　challenge　that　it　requires　two　actuating-sensing　steps　and　requires　the　extraction　of　re-emitted　and　reconstructed　waveforms.　In　this　study,　the　effects　of　the　two　extracted　components　on　the　performance　of　TRP　are　studied　experimentally.　The　results　show　that　the　two　time　intervals,　in　which　the　waveforms　are　extracted,　have　great　influence　on　the　accuracy　of　damage　detection　of　the　time　reversal　method　(TRM).　What　is　more,　it　requires　a　large　number　of　experiments　to　determine　these　two　time　intervals.　Therefore,　this　paper　proposed　an　efficient　time　reversal　method　(ETRM).　Firstly,　a　broadband　excitation　is　applied　to　obtain　response　at　a　wide　range　of　frequencies,　and　ridge　reconstruction　based　on　inverse　short-time　Fourier　transform　is　applied　to　extract　desired　mode　components　from　the　broadband　response.　Subsequently,　deconvolution　is　used　to　extract　narrow-band　reconstructed　signal.　In　this　method,　the　reconstructed　signal　can　be　easily　obtained　without　determining　the　two　time　intervals.　Besides,　the　reconstructed　signals　related　to　a　series　of　different　excitations　could　be　obtained　through　only　one　actuating-sensing　step.　Finally,　the　effectiveness　of　the　ETRM　for　damage　detection　in　composite　laminates　is　verified　through　experiments.