Objective.　In　magneto-acousto-electrical　tomography　(MAET),　linearly　frequency-modulated　(LFM)　signal　stimulation　uses　much　lower　peak　voltage　than　the　spike　pulse　stimulation,　lengthening　the　operation　life　of　the　transducer.　However,　due　to　the　uneven　frequency　responses　of　the　transducer,　the　low-noise　amplifier　(LNA),　and　the　bandpass　filter　(BPF),　MAET　using　LFM　signal　stimulation　suffers　from　longitudinal　resolution　loss.　In　this　paper,　frequency　response　compensated　linearly　frequency-modulated　(FRC-LFM)　signal　stimulation　is　investigated　to　resolve　the　problem.　Approach.　The　physical　model　of　measurement　of　the　frequency　responses　of　the　transducer　and　the　cascading　module　of　the　detection　electrodes,　the　LNA,　and　the　BPF　is　constructed.　The　frequency　responses　are　approximated　by　fitting　a　curve　to　the　measurement　data.　The　frequency　response　compensation　function　is　set　to　the　reciprocal　of　the　product　of　the　frequency　responses.　The　digital　FRC-LFM　signal　is　generated　in　MATLAB　and　converted　to　analog　signal　through　an　arbitrary　waveform　generator.　Two　groups　of　MAET　experiments　are　designed　to　confirm　the　performance　of　the　FRC-LFM　signal　stimulation.　Pure　agar　phantom　with　rectangular　through-holes　and　agar　phantom　with　pork　tissue　inclusion　serve　as　the　samples.　Main　results.　The　pulse-compressed　magneto-acousto-electrical　signal　obtained　using　FRC-LFM　stimulation　has　narrower　main-lobe　than　that　obtained　using　LFM　excitation,　although　the　signal　to　noise　pulse　interference　ratio　of　the　former　is　little　lower　than　that　of　the　latter,　which　is　due　to　the　limitation　of　the　power　amplifier.　FRC-LFM　also　proves　to　be　an　effective　method　to　utilize　the　frequency　outside　the　working　band　of　the　transducer　in　MAET.　Significance.　The　method　in　this　study　compensates　for　the　longitudinal　resolution　loss　due　to　the　uneven　frequency　responses.　Combining　with　high-capability　power　amplifier　and　high-performance　LNA,　the　MAET　using　FRC-LFM　signal　stimulation　can　potentially　achieve　high　longitudinal　resolution　and　high　sensitivity,　advancing　MAET　toward　the　clinical　application.