Low earth orbit satellites can help narrow the digital divide and provide low latency and high-speed Internet connections. However, they are extremely fast and cannot stay over a single place. In addition, during the process of circumnavigating the ground, it can only be exposed to a fixed location for a short period of time. In response to the above issues, a collaborative spectrum sensing algorithm based on fuzzy integration is proposed, and an intelligent algorithm is obtained by combining alliance game algorithm. Finally, a multi-satellite low orbit satellite collaborative spectrum sensing method based on multi-satellite cooperative beamforming and intelligent algorithm is designed. The research results indicated that the correct detection probability of intelligent algorithms was positively correlated with the signal-to-noise ratio. At a signal-to-noise ratio of -11dB, the probability of correct detection reached a steady state of 1. Under strong interference conditions, when the number of participating satellites in the array was 10, the detection probability of the research method approached 1, and the optimal satellite array power utilization rate obtained was 93.4%. The above results indicate that the research method can reduce the impact of strong ground interference signals and fully tap into the spatial resources available for low orbit satellites.