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机构地区:[1]华北电力大学电子与通信工程系,河北保定071003
出 处:《微型机与应用》2015年第1期85-87,共3页Microcomputer & Its Applications
摘 要:传统的超声波测深算法只能在较高信噪比环境下进行有效测量,针对较深湖泊以及海洋深度测量中低信噪比特点,介绍了一种编码驱动的超声波互相关测深算法。编码互相关算法是一种有效估计渡越时间的方法。通过理论推导的方式证明了编码互相关算法具有良好的抗干扰性能,经过仿真论证了编码互相关在测深方面的优势,并在实验中验证了该算法的可行性。Traditional ultrasonic sounding algorithm can be measured effectively only in high SNR environment. Aiming at the low SNR characters during the measurement for the depth of the deep lakes and oceans, this paper introduced a cross-correlation sounding algorithm, which is drived by the code. The coding cross-correlation algorithm is an effective method to estimate the transit time. It is proved that the coding cross-correlation algorithm has advantages of coding cross-correlation in sounding by simulating, a good anti-jamming performance. This paper also demonstrates the and verifies the feasibility of the algorithm by experimenting.
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