Massive　multiple-input　multiple-output　(MIMO)　has　been　proposed　as　a　key　technology　for　the　future　cellular　networks.　In　this　paper,　to　reduce　degradation　of　pilot　contamination,　we　propose　a　joint　optimization　scheme　for　transmission　power　and　pilot　allocation　in　time　division　duplex　massive　MIMO　systems.　Based　on　the　temporal　channel　correlation,　Kalman　filter　is　used　to　estimate　channels.　Considering　the　tradeoff　of　performance　and　complexity,　the　deterministic　approximation　of　data　rate　in　the　first　slot　is　derived　as　a　function　of　the　statistics　values.　To　maximize　the　minimal　rate　of　the　system,　transmission　power　and　pilot　allocation　are　iteratively　optimized,　where　the　pilot　power　and　data　power　are　derived　using　successive　approximation　and　slack　variables,　and　the　pilot　allocation　is　adjusted　in　the　order　of　the　ratio　of　channel　gains　and　interferences.　Simulation　results　confirm　that　the　proposed　scheme　is　effective　to　improve　the　minimal　rate.