Most　Lamb　wave　methods　utilize　transducer　array　for　damage　detection　and　localization.　Simultaneous　excitation　of　multiple　transmitters　is　a　strategy　for　efficient　data　acquisition,　in　which　matched　filtering　is　generally　applied　for　signal　separation　from　different　sources.　However,　the　signal-to-noise　ratio　(SNR)　and　subsequent　damage　imaging　performance　is　limited　due　to　transmitter　interference.　To　obtain　both　efficient　data　acquisition　and　high　imaging　performance,　sparse　reconstruction　imaging　for　Lamb　wave　simultaneous　excitation　system　is　proposed　in　this　paper　that　exploits　the　sparsity　of　structural　damage.　The　key　of　success　is　to　construct　accurate　damage-reflection　Lamb　wave　model　based　on　the　linear　characteristic　of　simultaneous　excitation　system.　In　addition,　the　model　performance　is　further　improved　by　excitation　waveform　design　for　each　transmitter.　The　effectiveness　of　the　proposed　method　is　experimentally　demonstrated　with　array　imaging　of　simulated　delamination　in　composite　laminates.　(C)　2019　Elsevier　Ltd.　All　rights　reserved.