## 4 Conclusions  
This paper presented several performance analyses of blind statistical tests circular folding cooperative power spectral density split cancellation (CFCPSC) and generalized likelihood ratio test (GLRT) based on multiantenna cognitive radios in a centralized cooperative spectrum sensing under correlated received signals at the antennas of secondary users combined with unequal average primary user signal power and dynamical noise assuming uncalibrated antenna arrays and frequency-selective sensing channels. The analyses adopted the well-known eigenvalue-based GLRT with (i) sample fusion, weighted sample fusion, eigenvalue fusion, and weighted eigenvalue fusion, and (ii) decision fusion with the fusion rules AND, OR, and MAJ, and the recently proposed power spectral density-based CFCPSC with sample fusion and decision fusion. The spectrum sensing scenarios considered different numbers of secondary users and antennas per secondary user and aimed at investigating the influence of having calibration errors combined with signal correlations on the detection performances of the GLRT compared to the CFCPSC, which is known for being robust against dynamical noise powers. Results show that the GLRT is quite vulnerable to calibration errors with or without received signals correlations, while the CFCPSC improves its performances under calibration errors with or without received signals correlations, independently of the number of secondary users and antennas per secondary user. Besides, the weighting schemes used for the GLRT with weighted sample fusion and weighted eigenvalue fusion could not bring any benefits here and, on the contrary, caused severe performance degradation for higher levels of calibration errors. The GLRT with sample fusion and weighted sample fusion performed better than the CFCPSC with sample fusion only in lower levels of calibration errors. Correlations of received signals led to performance improvements for the GLRT with decision fusion and eigenvalue fusion/weighted eigenvalue fusion and the CFCPSC with decision fusion and performance degradation for the GLRT and CFCPSC with sample fusion. Robustness to the numbers of secondary users and antennas per secondary user is a relevant advantage of the CFCPSC with decision fusion over the GLRT with decision fusion and eigenvalue fusion. Results showed that the CFCPSC is the best choice for spectrum sensing under the adopted scenarios in the majority of the analyses. [PERSON] wrote the first versions of the manuscript, conceived the main ideas, and completed the majority of the work regarding the writing and review of the final manuscript. [PERSON] performed all simulations, with which [PERSON] assisted, and contributed to the preparation of the final version. [PERSON] revised all versions of the manuscript. All authors contributed equally in proofreading and technical discussions. All authors have read and agreed to the published version of the manuscript. This work was partially supported by Faemig (Grant No. APQ-00966-17), by Sao Paulo Research Foundation (Fapesp) (Grant No. 2021/06946-0), by CNPq (Grants No. 311470/2021-1 and 403827/2021-3), and by RNP, with resources from MCTIC (Grant No. 01245.010604/2020-14), under the 6G Mobile Communications Systems project of the Radiocommunication Reference Center (Centro de Referencia em Radicomunicacoes-CRR) of the National Institute of Telecommunications (Instituto Nacional de Telecomunicacoes -Inatel), Brazil.