Locally optimum and suboptimum detector performance in a non-Gaussian interference environment
Abstract
As the normally assumed white Gaussian interference is the most destructive in terms of minimizing channel capacity, substantial improvement can usually be obtained if the real world interference environment (nonGaussian) is properly taken into account in this report, the performance of the locally optimum Bayes detector (LOBD) is compared with the performance of various ad hoc nonlinear detection schemes. The known results are reviewed and then it is demonstrated that these theoretical results may be misleading due to the assumptions that are required in order to derive them analytically. For a particular type of broadband impulsive noise, the critical assumptions of sufficiently small signal level and large number of samples (large time bandwidth product so that the Central Limit Theorem applies) are removed; the first, analytically, and the second, by computer simulation.
- Publication:
-
NASA STI/Recon Technical Report N
- Pub Date:
- January 1984
- Bibcode:
- 1984STIN...8430173S
- Keywords:
-
- Nonlinearity;
- Random Noise;
- Signal Detection;
- Signal Processing;
- Telecommunication;
- Computerized Simulation;
- Monte Carlo Method;
- Nonlinearity;
- Communications and Radar