Aiming at the problem of poor real-time performance due to the time-consuming implementation of the star identification algorithm for the all-sky regions in DSP, a star identification algorithm for all-sky regions based on FPGA in star radiation mode is proposed and implemented. This method took advantage of the characteristics of parallelism and high main frequency of FPGA, and solved the problem of long time-consuming of star identification in the all-sky regions under the premise of ensuring high precision and high accuracy of the algorithm. The main works of this paper were as follows. Firstly, the star radiation pattern was constructed according to the star point information. Secondly, the calculation of the corresponding eigenvectors in the star radiation pattern was realized based on FPGA. Finally, a pre-readable and pipelined star radiation pattern matching algorithm was proposed, which greatly shortened the time of star radiation pattern matching. The experimental verification was carried out on the Xc7a75tfgg484-2 platform of Xilinx Company. The results show that under the same main clock frequency, the speed of the star identification algorithm based on FPGA is more than 10.95 times faster than that based on DSP. And the recognition rate exceeds 99% when using three sets of eigenvectors for simultaneous matching.