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A robust detection algorithm for real signals based on RRNS

机译:一种基于RRNS的鲁棒的真实信号检测算法

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We mainly consider a problem in this paper that how to obtain the robust reconstruction for a real dividend from its error remainders using China remainder theory (CRT), which is often encountered in practice such as range ambiguity, phase unwrapping, etc. To solve this problem, we generalize the redundant residue number system (RRNS) to reals domain and present an efficient algorithm to recover the dividend robustly. Simulation results demonstrate our proposed algorithm has much better performance than that of known methods when remainders noisy by Gaussian noise.
机译:在本文中,我们主要考虑一个问题,即如何使用中国余数理论(CRT)从其误差余数中获得对其实数除法的鲁棒重构,而在实际中经常会遇到这种问题,例如距离模糊,相位展开等。问题,我们将冗余残数系统(RRNS)推广到实数域,并提出了一种有效的算法来稳健地回收股利。仿真结果表明,该算法在高斯噪声有余量的情况下具有比已知方法更好的性能。

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