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Entropy minimization based phase compensation for echoes of high dynamic targets

机译:高动态目标回波的基于熵最小化的相位补偿

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This paper presents a phase compensation method for high dynamic target echoes, of which the echo phase is not linear but polynomial. Restricted by minimum entropy criterion, coefficients of each order of the echo phase are estimated and utilized to compensate the nonlinearity of the phase. Then the Doppler frequency estimation with higher accuracy can be gained by FFT or other frequency estimation techniques. The experiment result shows that the nonlinearity of the phase is estimated efficiently and the compensated FFT estimation is asymptotically unbiased with low root mean square error (RMSE), which, at the same time, allows integrating more echoes leading to better performances. The entropy minimization based phase compensation (EMPC) technique is potential to adapt to the maneuvering character of the high dynamic targets and improve the velocity estimation accuracy.
机译:本文提出了一种针对高动态目标回波的相位补偿方法,该方法的回波相位不是线性的而是多项式。受最小熵准则的限制,估计回声相位的每个阶次的系数,并将其用于补偿相位的非线性。然后,可以通过FFT或其他频率估计技术来获得具有更高准确度的多普勒频率估计。实验结果表明,可以有效地估计相位的非线性,并且补偿后的FFT估计在渐近无偏的情况下具有较低的均方根误差(RMSE),同时可以整合更多的回波,从而获得更好的性能。基于熵最小化的相位补偿(EMPC)技术有可能适应高动态目标的机动特性并提高速度估计精度。

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