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Joint Angle–Frequency Estimation Using Nested Sampling with One-Bit Quantization

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Abstract

The problem of joint angle and frequency estimation is considered in this paper. An algorithm using spatial–temporal nested sampling and one-bit quantization is developed. It is shown that under moderate condition when the signal-to-noise ratio is low enough, the defined one-bit correlation matrix has linear relationship with the unquantized one, and therefore, subspace-based algorithms can be applied to this one-bit correlation matrix directly. The enhanced identification performance, offered by the nested sampling, can also be provided when one-bit quantization is used. Simulation results are provided to verify the performance of the presented algorithm.

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Authors and Affiliations

  1. Shanghai Key Laboratory of Intelligent Sensing and Recognition, School of Electronic Information and Electrical Engineering, Shanghai Jiaotong University, Shanghai, 200240, People’s Republic of China

    Xiaodong Han, Ting Shu, Jin He & Wenxian Yu

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  1. Xiaodong Han
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  2. Ting Shu
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  3. Jin He
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  4. Wenxian Yu
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Correspondence to Jin He.

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This work was supported in part by the National Key Research and Development Program of China under grant 2018YFB0505103 and in part by the National Natural Science Foundation of China under grant 61771302.

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Han, X., Shu, T., He, J. et al. Joint Angle–Frequency Estimation Using Nested Sampling with One-Bit Quantization. Circuits Syst Signal Process 39, 4187–4197 (2020). https://doi.org/10.1007/s00034-020-01351-8

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  • DOI: https://doi.org/10.1007/s00034-020-01351-8

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