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Method for Large Sonar Calibration and Backscattering Strength Estimation

机译:大声卡校准和反向散射强度估计的方法

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This paper presents the technological implementation of method for calibration and backscattering strength estimation for sonar systems. In this method, the electrical and acoustic quantities of the sonar are measured separately rather than using the standards target method. Also outlined are the advantages and disadvantages of this method in comparison to the standard target method. The presented method is based on the acoustical calibration of the receiving and transmitting arrays and comprises the precise electrical calibration of the receiving and transmitting electronics. The acoustic calibration of the transmitter and receiver is based on measuring certain characteristics for each individual channel during the manufacturing process. Transmit Voltage Response (TVR), Open Circuit Response (OCR) and array receive and transmit directional responses (beam patterns) are measured in both vertical and horizontal planes. The transmit and receive responses relate the acoustic pressure to the projector driving voltage or to the voltage generated by the hydrophone. The electrical calibration addresses the issue of the linearity of the system with controlled Time Varied Gain (TVG) and accounts for a difference in the gain and phase for each channel in the data acquisition device. TVG is an analog amplifier in which gain is controlled by a Digital Signal Processor (DSP). The characteristic of this amplifier can be nonlinear or can depart from the requested shape. That discrepancy needs to be addressed and compensated for to achieve precision calibration. The basic backscattering strength estimation is done in real-time, utilizing both calibration data and sonar acquired data. The compensation and stabilization for pitch and roll for both receiving and transmitting arrays are additionally incorporated into the real-time beamforming. The transmitting pitch and receiving roll stabilization are conducted using state-of-the-art FPGA architecture followed by the pitch and roll compensation of the Tx-Rx beam envelopes executed during the signal processing procedure. Extensive sound bottom coverage, which constitutes the yaw compensation, is accomplished using the multi-ping technique over the frequency range. As an additional advantage to this method, the echo level processing for each receiving beam is controlled by the adaptive bottom-detection algorithm. The advantages of this method are demonstrated using a large, five ton, hull mounted sonar system where the standard target method can not be successfully conducted.
机译:本文介绍了声纳系统校准和反向散射强度估计方法的技术实现。在该方法中,单独测量声纳的电气和声学量而不是使用标准目标方法测量。还概述了该方法的优点和缺点与标准目标方法相比。所提出的方法基于接收和发射阵列的声学校准,并且包括接收和透射电子器件的精确电校准。发射器和接收器的声学校准是基于在制造过程中测量每个单独通道的某些特性。发送电压响应(TVR),在垂直和水平平面中测量开路响应(OCR)和阵列接收和发送定向响应(波束图案)。发射和接收响应将声压与投影仪驱动电压或由水听器产生的电压相关联。电校准解决了系统的线性度问题,具有受控时间变化增益(TVG),并考虑数据采集设备中每个信道的增益和相位的差异。 TVG是一个模拟放大器,其中增益由数字信号处理器(DSP)控制。该放大器的特性可以是非线性的,或者可以脱离所请求的形状。需要解决和补偿差异以实现精确校准。基本反向散射强度估计是实时完成的,利用校准数据和声纳获取数据。用于接收和传输阵列的间距和辊的补偿和稳定性地被纳入实时波束形成。使用最先进的FPGA架构进行传输间距和接收辊稳定,然后进行在信号处理过程期间执行的TX-RX光束包络的间距和滚动补偿。构成偏航补偿的广泛声音底部覆盖是在频率范围内完成的多Ping技术完成的。作为该方法的额外优点,每个接收光束的回声电平处理由自适应底部检测算法控制。使用大型五吨船体安装的声纳系统证明了这种方法的优点,其中不能成功地进行标准目标方法。

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