School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 610054, People's Republic of China.
Bioinspir Biomim. 2019 Nov 21;15(1):016004. doi: 10.1088/1748-3190/ab526b.
Underwater active electrolocation technology is a new kind of technology for underwater detection and environmental perception, whose discovery was inspired by the active electrolocation systems of weakly electric fish. The amplitude information-frequency characteristics (AIFC) obtained by an underwater active electrolocation system (UAES) can effectively assess information about probed objects, such as their material composition, shape, and conductivity. Traditionally, single-frequency excitation has been employed in a UAES, which can make object detection inefficient and time-consuming. We employed multi-frequency signals for excitation in a UAES, to improve the efficiency of detection. We used three kinds of multi-frequency excitation signals-square wave, single pulse, and biphasic pulse, to detect objects under water. To improve the accuracy of measurements, we developed an AIFC recognition algorithm. The experimental results showed that the multi-frequency excitation detection method is effective and feasible. We demonstrated that the electrodes are strongly coupled to the UAES and can result in non-negligible errors that have often been previously ignored. In addition, graphite electrodes performed much better than titanium electrodes for multi-frequency signal detection, and bio-inspired multi-frequency pulse excitation signals gave more accurate results than the square-wave signal.
水下主动电定位技术是一种新的水下探测和环境感知技术，其发现灵感来自于弱电鱼的主动电定位系统。水下主动电定位系统（UAES）获得的幅度信息-频率特性（AIFC）可以有效地评估探测物体的信息，例如其材料组成、形状和导电性。传统上，UAES 采用单频激励，这使得物体检测效率低下且耗时。我们在 UAES 中采用多频信号进行激励，以提高检测效率。我们使用了三种多频激励信号——方波、单脉冲和双相脉冲，来探测水下物体。为了提高测量的准确性，我们开发了一种 AIFC 识别算法。实验结果表明，多频激励检测方法是有效和可行的。我们证明了电极与 UAES 紧密耦合，会导致以前经常被忽略的不可忽略的误差。此外，石墨电极在多频信号检测方面比钛电极表现更好，仿生多频脉冲激励信号比方波信号产生更准确的结果。
