Bionic target localization method based on range-azimuth joint dictionary

Abstract

The traditional underwater sonar system usually achieve high angle resolution by increasing array aperture and the number of array elements, but this method will inevitably lead to complex system and high cost. Given that big brown bats have obtained surprisingly high resolution using a simple system, this paper proposes a bionic target localization method. First, a range-azimuth joint dictionary was constructed based on the bionic system of multi-harmonic emission and double random array reception. Then, the coherence characteristic of the dictionary was analyzed and the range and azimuth of the target were estimated, and at last the experimental verification was completed. The results show that the bionic range-azimuth joint estimation based on sparse signal representation can achieve high-precision target localization under the condition of echo high aliasing.

Bionic study of distance-azimuth discrimination of multi-scattered point objects in bat bio-sonar

“…Wohlgemuth et al [20] calculated the target distance and angles through time delay between the two ears of the bat and filtering of the spectrum to obtain the target elevation angle, enabling the construction of the three-dimensional positioning space for bat biological sonic. Yang et al [21] proposed a target positioning method based on the distanceposition dictionary, which converts the estimation problem of target distance and orientation into a sparse echo theory problem, transforming the target distance and orientation estimation problem into a sparse echo theory problem. This approach facilitated the distinction of multiple overlapping echoes in real environments, ultimately achieving the positioning of brick cracks.…”