Abstract
In a nonstationary and/or nonhomogeneous interference environment, an adaptive system for target detection may suffer a severe performance degradation, due to the lack of a sufficient amount of data from which the system can “learn” (estimate) the statistics of the environment. We analyze the detection performance of an adaptive system, which employs a frequency diversity (multiband) signaling waveform and a multiband sample matrix inversion algorithm (SMI). By comparison with the corresponding single-band system under the chosen system constraint, we show that the multiband system can significantly outperform the single band when the amount of data available from a single frequency band is severely limited by the environment.
Original language | English (US) |
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Pages (from-to) | 768-773 |
Number of pages | 6 |
Journal | IEEE Transactions on Aerospace and Electronic Systems |
Volume | 26 |
Issue number | 5 |
DOIs | |
State | Published - Sep 1990 |
ASJC Scopus subject areas
- Aerospace Engineering
- Electrical and Electronic Engineering