In　this　brief,　a　blind　background　calibration　technique　for　super-regenerative　receivers　(SRRs)　is　presented.　The　proposed　calibration　scheme　is　designed　to　help　SRRs　to　maintain　their　high　sensitivity　and　immunity　to　negative　transconductance　(-G(m))　variations　under　process-voltage-　temperature　(PVT)　variations.　Unlike　the　conventional　foreground　-G(m)　variations　calibration　techniques　that　require　interruption　of　the　receiver　input,　the　proposed　calibration　technique　employs　input　signal　statistics　and　does　not　require　interruption　of　the　input　bit-stream　for　extraction　of　the　errors.　The　proposed　scheme　is　based　on　an　adaptive　algorithm　that　compares　the　probability　distribution　of　the　pseudorandom-input　(PI)　stream　and　the　output　of　the　super-regenerative　oscillator　(SRO)　and　forces　them　to　coincide　at　the　end　of　the　calibration.　The　proposed　technique　is　implemented　using　a　mixed-signal　detection　circuit　and　a　finite　state　machine　(FSM)　that　drives　an　8-bit　successive　approximation　register　(SAR)　to　adjust　the　compensation　current　in　the　SRO.　The　simulation　results　successfully　verify　the　effectiveness　and　reliability　of　the　proposed　calibration　technique　and　show　significant　improvements　in　terms　of　SRR　sensitivity　under　different　process　corners.