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- W4365421198 abstract "The design of detectors for weak sinusoidal signals with random varying phase and frequency has been studied for many decades and continues to be a topic of significant theoretical and practical interest. For a random process, the likelihood ratio detector is known to have an estimator-correlator structure that requires generation of the causal minimum mean square error (MMSE) estimate of the random signal, which generally is very challenging for non-Gaussian signals. In this paper we present methods to project an infinite dimensional solution to the stochastic differential equations generating the required MMSE estimate onto a finite dimensional space, closely approximating the exact solution. Simulations of our proposed detectors are presented and compared with existing approaches, specifically optimized quadratic detectors and extended Kalman filter based methods." @default.
- W4365421198 created "2023-04-14" @default.
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- W4365421198 date "2023-01-01" @default.
- W4365421198 modified "2023-09-29" @default.
- W4365421198 title "Detection and Estimation of Randomly Phase Modulated Signals" @default.
- W4365421198 doi "https://doi.org/10.1109/tsp.2023.3265888" @default.
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