This　paper　presents　a　novel　adaptive　compressed　sensing　based　joint　detection　and　tracking　algorithm　(ACS-JDT　algorithm)　for　airborne　radars　with　high　resolution.　By　exploiting　the　sparsity　of　targets　in　the　measurement　space,　the　adaptive　compressed　sensing　algorithm　(ACS　algorithm)　reconstructs　the　whole　radar　scenario　(direction　of　arrival　(DOA)-Doppler　plane)　for　each　range　gate　during　one　scan.　As　a　result,　a　three-dimensional　measurement　space　(range-DOA-Doppler　space)　is　built　during　multiple　consecutive　scans.　A　joint　detection　and　tracking　algorithm　is　then　performed　for　tracking　multiple　targets　in　the　measurement　space.　The　ACS　algorithm　together　with　the　joint　detection　and　tracking　procedures,　can　effectively　distinguish　true　targets　from　clutter　based　on　information　from　multiple　scans.