| Iterative Polynomial Fitting Technique Using Polynomial Coefficients for the Nonlinear Line Array Shape Estimation |
|
Chom Gun Cho |
| 비선형 선배열 형상 추정을 위한 계수 반복 다항 근사화 기법 |
|
조점군 |
|
국방과학연구소 |
|
|
| Abstract |
|
Low frequency towed line array with high array gain and beam resolution is a long range surveillance sensor for anti-submarine warfare. The beam characteristics is however deteriorated due to the distorted line array sensor caused by low towing speed, wind, current, and towing ship maneuvering. An adaptive beamforming method is utilized in this paper to enhance the distorted line array beam performance by estimating and compensating the nonlinear array shape. A polynomial curve fitting in the least square sense is used to estimate the array shape iteratively with the distributed heading sensors data along the array. Real time array shape estimation and nonlinear array beam calculation is applied to a very long towed line array sensor system and the beam performance is evaluated and compared to the linear beamformer for the simulation and sea trial data. |
| Key Words:
Array shape estimation, anti-submarine warfare, iterative polynomial fitting, distorted line array, towed line array, heading sensor |
|
PDF Links
Full text via DOI
Download Citation
