Journal of Systems Engineering and Electronics ›› 2010, Vol. 32 ›› Issue (4): 678-681.
Previous Articles Next Articles
HAO Cheng-Feng, CA Long, CHEN Mo-Jiang
Online:
Published:
Abstract:
In order to improve the detection performance of the high resolution radar (HRR), a new detection scheme of range-extended targets based on fuzzy logic is proposed. It computes the values of the membership function to the false alarm space from the samples of the reference cells by replacing the conventional binary constant false alarm rate (CFAR) detector with a fuzzy CFAR detector. Then these values are combined according to fuzzy integrators to produce a global detection statistic. The fuzzy algebraic sum integrator and the fuzzy algebraic product integrator are considered, and the analytic expressions of the false alarm rate for them are derived. Simulation results show that the fuzzy algebraic product integrator renders nearly 2 dB improvement of SNR over the binary integrator in Gaussian clutter. In addition, these fuzzy integrators have the characteristic that the false alarm rate can be tuned using a single threshold, more easily than that of the dual-threshold binary integrator.
HAO Cheng-Feng, CA Long, CHEN Mo-Jiang. Fuzzy CFAR detection for range-extended targets in Gaussian clutter[J]. Journal of Systems Engineering and Electronics, 2010, 32(4): 678-681.
0 / / Recommend
Add to citation manager EndNote|Reference Manager|ProCite|BibTeX|RefWorks
URL: https://www.sys-ele.com/EN/
https://www.sys-ele.com/EN/Y2010/V32/I4/678