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一种新型的塔康方位角估算方法
引用本文:马雅男,唐小峰,邹 建,徐 卫,刘道煦.一种新型的塔康方位角估算方法[J].测控技术,2022,41(4):54-59.
作者姓名:马雅男  唐小峰  邹 建  徐 卫  刘道煦
作者单位:成都天奥测控技术有限公司,四川成都 611731
基金项目:装备发展部测试仪器科研项目(2009ZCHZ0004)
摘    要:塔康作为近程无线电导航系统,为飞机提供与地面台的距离和方位角度等信息,但由于硬件工艺、环境等限制,其测量精度极易受到噪声的影响.针对这一问题,提出了一种新型的方位角估算方法.该方法在最小二乘法的基础上,创新性地增加了误差检测功能和拟合数据反馈的功能,通过误差检测功能去除超过误差门限范围的接收数据,再利用平均后的拟合数据...

关 键 词:塔康系统  方位角计算  最小二乘法  误差检测  拟合数据反馈

A Novel Algorithm of Azimuth Estimation for TACAN System
MA Ya-nan,TANG Xiao-feng,ZOU Jian,XU Wei,LIU Dao-xu.A Novel Algorithm of Azimuth Estimation for TACAN System[J].Measurement & Control Technology,2022,41(4):54-59.
Authors:MA Ya-nan  TANG Xiao-feng  ZOU Jian  XU Wei  LIU Dao-xu
Abstract:As a short-range radio navigation system,TACAN provides the aircraft with the distance and azimuth information of the ground station.However,due to the limitations of hardware technology and environment,the measurement accuracy is easily affected by noise.To solve this problem,a novel algorithm of azimuth calculation is proposed.Based on the least square algorithm,the error detection module and fitting data feedback module are added.The error detection module is used to eliminate the received data exceeding the error threshold.Then,the average fitting data is calculated to replace the removed data.At last,the azimuth angle can be obtained accurately by using this integrated data.Utilizing this new structure,the detected azimuth about 35.25° is obtain which is 0.54° lower than the test data using the least square algorithm with SNR at 23 dB and reference angle 35°.Then,compared with the test data utilizing the least square algorithm,the measurement accuracy of azimuth is increased by 10% to 90% with the help of the new structure at the SNR from 13 dB to 38 dB and azimuth from 35° to 305°.At last,the new algorithm is tested on the hardware platform by FPGA.The error is reduced by 1.6°compared with the measurement result of the least square method,which plays a role in promoting the performances of the TACAN system.
Keywords:TACAN system  azimuth calculation  least square method  error detection  fitting data feedback
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