Over the past few years, dynamic spectrum access has been gaining an increasing attention
as a solution to the spectrum scarcity problem. In this paper, a primary user detection technique based on
Maximum A Posteriori estimation is proposed for dynamic spectrum access networks. In the proposed
technique, a set of secondary users acting as sensing nodes send their individual decisions about the
existence of the primary user to a central fusion center. The fusion center uses the received data to form
a codeword then, applies the maximum a posteriori estimation rule to make a final decision regarding
the presence of the primary user. The proposed technique takes into consideration the accuracy of the
local decisions provided by the secondary users when making a final decision. In this paper, we analyze
the performance of the proposed scheme and derive closed-form expressions for the upper bounds of the
false alarm and misdetection probabilities. The results show that the proposed technique outperforms other
combining techniques in terms of its ability to detect the primary user and, accordingly, minimizes the
harmful interference to the licensed network. Moreover, the proposed technique achieves better performance
at a lower number of reporting secondary users which compensates for the complexity of the maximum a
posteriori estimation.