On the Mean Square Error Optimal Estimator in One-Bit Quantized Systems
نویسندگان
چکیده
This paper investigates the mean square error (MSE)-optimal conditional estimator (CME) in one-bit quantized systems context of channel estimation with jointly Gaussian inputs. We analyze relationship generally nonlinear CME to linear Bussgang estimator, a well-known method based on Bussgang's theorem. highlight novel observation that is equal for different special cases, including case univariate inputs and multiple pilot signals absence additive noise prior quantization. For general cases we conduct numerical simulations quantify gap between CME. increases higher dimensions longer sequences. propose an optimal sequence, motivated by insights from CME, derive closed-form expression MSE case. Afterwards, find limit asymptotically large number pilots regime also holds estimator. Lastly, present experiments various system parameters performance metrics which illuminate behavior regime. In this context, stochastic resonance effect appears can be quantified.
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ژورنال
عنوان ژورنال: IEEE Transactions on Signal Processing
سال: 2023
ISSN: ['1053-587X', '1941-0476']
DOI: https://doi.org/10.1109/tsp.2023.3282063