Spectrum Compensation for Time-Reversal Method on Ultrasonic Target Detection Using Pulse Compression
Spectrum Compensation for Time-Reversal Method on Ultrasonic Target Detection Using Pulse Compression
复制标题
利用脉冲压缩进行超声目标检测的时间反转方法的频谱补偿
DOI：
10.1109/tuffc.2017.2748968
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发表时间：
2017
期刊：
影响因子：
--
通讯作者：
S. Motooka
中科院分区：
文献类型：
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作者：
Dai Chimura;Ryo Toh;S. Motooka
本文讨论了一种利用高信噪比和高分辨率信号进行目标检测的时间反转方法。为了获得更高信噪比和更宽频谱的信号，我们提出了一种灵敏度补偿（SC）信号。在本文中，我们提出了三种类型的sc转tr信号。使用平方频谱补偿计算sc调幅（AM）换tr信号和sc调频（FM）换tr信号。此外，为了提高时间反转波的发射能量以获得更高的信噪比，我们提出了一种sc调幅调频信号（SCAFM-for-TR）。通过调幅和调频计算，得到具有恒定包络波形和补偿频谱的TR波。本文研究了利用脉冲压缩技术对SC-for-TR信号进行水中目标测距的效率。因此，SC-for-TR信号派生出具有更高分辨率的脉冲压缩信号。此外，当目标固定在接收到较低信噪比信号的位置时，采用SCAFM-for-TR信号进行目标测距的精度高于其他SC-for-TR信号。这些结果表明，使用SC-for-TR信号的测量提高了时间分辨率和信噪比。
This paper discusses a method of time reversal (TR) for target detection using a signal with a higher signal-to-noise ratio (SNR) and higher resolution. To acquire a signal with a higher SNR and broader spectrum, we have proposed a sensitivity-compensated (SC) signal. In this paper, we propose three types of SC-for-TR signals. An SC-amplitude-modulated (AM)-for-TR signal and an SC-frequency-modulated (FM)-for-TR signal are calculated using squared spectrum compensation. Moreover, to enhance the transmitting energy of a time-reversed wave for a higher SNR, we propose an SC-amplitude-and-frequency-modulated-for-TR (SCAFM-for-TR) signal. The SCAFM-for-TR signal is calculated by AM and FM for deriving a TR wave with a constant envelope waveform and compensated spectrum. In this paper, the efficiency of the SC-for-TR signals is investigated on target ranging in water using pulse compression. Accordingly, the SC-for-TR signals derive a pulse compressed signal with a higher resolution. In addition, the precision of target ranging using the SCAFM-for-TR signal is greater than that using the other SC-for-TR signals at an arrangement when a target was fixed at a position where a signal with a lower SNR is received. These results show that the measurements using the SC-for-TR signals improve time resolution and the SNR.