Aiming　at　the　problem　of　range　error　caused　by　signal　processing　algorithm　of　digital　airborne　multi-pulse　laser　rangefinder,　a　noise　reduction　algorithm　to　reduce　the　distortion　of　pulsed　laser　echo　waveform　and　correction　measures　to　improve　the　accuracy　of　laser　ranging　are　proposed,　which　can　be　used　for　precise　positioning　of　pulsed　laser　targets.　First　of　all,　the　range　error　introduced　by　the　digital　signal　processing　algorithm　is　analyzed　by　combining　target　detection　process　of　digital　multi-pulse　laser.　It　is　pointed　out　that　the　signal　sampling　rate　limits　the　range　resolution　of　the　target　location,　and　the　nonlinear　phase　frequency　characteristic　of　the　low-pass　filtering　is　the　main　factor　that　causes　the　distortion　of　the　waveform　and　the　peak　offset.　Then,　aiming　at　these　problems,　a　specific　algorithm　for　improving　the　accuracy　of　multi-pulse　laser　target　localization　is　given.　The　wavelet　decomposition　of　the　echo　signal　is　implemented　based　on　the　symmetric　wavelet　basis,　and　the　wavelet　coefficients　are　processed　by　the　improved　Donoho　threshold　to　reduce　the　offset　of　the　peak　position　of　the　reconstructed　target　waveform.　The　peak　point　of　the　target　echo　is　searched　by　the　differential　combinatorial　function,　and　based　on　the　asymmetric　Gauss　pulse　model,　the　high　sampling　rate　fitting　is　performed　to　correct　the　position　of　the　peak　point　and　improve　the　accuracy　of　localization.　Finally,　the　suitable　wavelet　bases　are　selected　through　simulation,　the　improvement　of　signal-to-noise　ratio　(SNR)　and　the　performance　of　peak　point　localization　with　different　algorithms　are　compared.　In　the　outdoor　tower,　the　extinction　ratio　laser　ranging　experiment　is　carried　out.　The　results　show　that　the　laser　target　localization　accuracy　is　less　than　2　m　when　the　SNR　is　1.5　and　the　performance　of　the　multi-pulse　laser　target　precise　positioning　algorithm　is　verified.　©　2017,　Chinese　Lasers　Press.　All　right　reserved.