Signal to noise ratio estimation algorithm at low signaltonoise
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Department of Optical and Electronicl Equipment, Equipment Academy, Beijing 101416, China

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TN36

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    Abstract:

    For problem that performance of classic SNR estimation algorithm is poor. Maximum likelihood amplitude estimation algorithm is improved in this paper. It used method of bisection and steepest descend iterative search method to improve the parameter estimation accuracy and reduces the SNR estimation bias. Simulation results show that within the scope of set SNR,two iterative search algorithm performance better than ML estimation algorithm, and steepest descend iterative search method with less number of iterations.

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  • Received:
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  • Online: November 22,2017
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