Detection and correction method for abnormal situation of echo data of receiving array elements in correlation sonar

摘要

Correlation velocity sonar mainly uses spatial correlation for velocity measurement, which requires multiple receiving array elements to receive echo signals. Since velocity calculation requires the use of echo data to construct a correlation matrix, the data correlation matrix is then used to fit the model parameters using the parameter distribution estimation method based on least square. Finally, the extreme value of the fitted mathematical model is obtained to obtain speed information. If you want to calculate high-precision speed information, stable and reliable echo data is a fundamental requirement. However, in typical application environments, such as oceans and lakes, the reception of echo data is easily affected, such as the abnormality of the transducer, the interference from other devices, and the anomaly of seabed scattering. Abnormality or loss of received data will have an important impact on the results, especially the receiving failure caused by the equipment hardware, which will directly lead to the unavailability of valuable experimental data. The offshore test conditions are complicated and expensive, so the stability of equipment and systems is particularly important. After a large amount of data processing and research and analysis, this paper proposes a data anomaly detection and anomaly processing method, which can stably detect some channel data loss and data anomalies, and then ensure the normal processing of echo data through abnormal processing. To a certain extent, the accuracy of speed calculation is ensured.