Abstract
The constant false alarm rate (CFAR) detector based on the fast Fourier transform (FFT) filter bank is computationally efficient and widely used for the detection and frequency estimation of narrowband signals embedded in noise. Depending on the expected bandwidth of the signals of interest, techniques involving the processing of multiple input data blocks, with or without overlap, may be used to optimize the detection performance. These include the predetection summation (averaging) of power spectral estimates or the use of a two-stage processing strategy where the final detection decision is based on the majority vote of detection decisions obtained for the individual input data blocks. This paper shows that the actual performance gain obtained by doubling the number of input data blocks is dependent on the number of data blocks and is always less than 3 dB.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: IEEE Transactions on Instrumentation and Measurement
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
