基于磁敏传感器的目标定位算法研究
摘要
利用磁场信号分析和识别特定目标,在科研和实际生产生活中具有一定的实用意义。特别是当前磁敏传感器测量精度不断提高,信号处理方法和计算机处理能力不断提高,利用磁场信号分析特定目标的物理特征,几何特征,包括运动速度,方向等,都具备了可行性。
本文主要讨论了利用新型磁敏传感器获取磁场信号,进行一定的信号分析和计算,实现基于磁场信息的目标定位。利用目标磁特性捕捉和分析目标自身物理特性和运动特性,实现利用计算机分析目标磁特性,实现特定目标的可视化分析和目标定位跟踪的方法。
目前在特征目标捕捉方面使用的大部分方法是利用雷达,声纳,图像等方法。本文讨论的方法能够在车辆管理,船舶发现和定位,金属探测等方面得到一定的应用。对各种铁磁性物体探测具有广泛意义。结合现有的一些目标探测发,能够在特定目标搜索和跟踪上起到更好的作用。
本文讨论了多种算法用于实现目标的定位问题。当目标只有一个,数学模型较为简单时,牛顿迭代法求解算法;当考虑多个目标或者实际情况噪声较为严重时,可以考虑粒子群优化算法和神经网络算法。且文章给出了上述算法的一些实现和参考。
Using the magnetic field signal analysis and identify specific targets and actual production life in research and has some practical significance. In particular, the current magnetic sensors improve measurement accuracy, signal processing methods and computer processing power increasing, the use of magnetic field signal of the physical characteristics of a specific target, geometric characteristics, including velocity and direction, both with the feasibility.
This paper discusses the use of new magnetic sensors for magnetic field signal, a certain signal analysis and calculation of the magnetic field information-based targeting. Using objective analysis of target capture and magnetic properties of the physical characteristics and motion characteristics of their own to achieve goals using magnetic properties of computer analysis to achieve specific goals and objectives of the visual analysis of location and tracking methods.
Capture the current characteristics of the use of most of the goals is to use radar, sonar, image and other methods. This article discusses ways to manage in the vehicle, ship detection and localization. metal detection and other aspects of certain application. Detection of ferromagnetic objects in a variety of broad significance. Target detection with some of the existing hair, to the specific target search and tracking played a better role.
This article discusses the various algorithms used to achieve target in question. When the target is only one. relatively simple mathematical model, the Newton iteration algorithm:When considering the actual situation of multiple targets or noise is more serious, consider particle swarm optimization algorithm and neural network algorithm. And the article gives some implementation of these algorithms and references.
本文主要讨论了利用新型磁敏传感器获取磁场信号,进行一定的信号分析和计算,实现基于磁场信息的目标定位。利用目标磁特性捕捉和分析目标自身物理特性和运动特性,实现利用计算机分析目标磁特性,实现特定目标的可视化分析和目标定位跟踪的方法。
目前在特征目标捕捉方面使用的大部分方法是利用雷达,声纳,图像等方法。本文讨论的方法能够在车辆管理,船舶发现和定位,金属探测等方面得到一定的应用。对各种铁磁性物体探测具有广泛意义。结合现有的一些目标探测发,能够在特定目标搜索和跟踪上起到更好的作用。
本文讨论了多种算法用于实现目标的定位问题。当目标只有一个,数学模型较为简单时,牛顿迭代法求解算法;当考虑多个目标或者实际情况噪声较为严重时,可以考虑粒子群优化算法和神经网络算法。且文章给出了上述算法的一些实现和参考。
Using the magnetic field signal analysis and identify specific targets and actual production life in research and has some practical significance. In particular, the current magnetic sensors improve measurement accuracy, signal processing methods and computer processing power increasing, the use of magnetic field signal of the physical characteristics of a specific target, geometric characteristics, including velocity and direction, both with the feasibility.
This paper discusses the use of new magnetic sensors for magnetic field signal, a certain signal analysis and calculation of the magnetic field information-based targeting. Using objective analysis of target capture and magnetic properties of the physical characteristics and motion characteristics of their own to achieve goals using magnetic properties of computer analysis to achieve specific goals and objectives of the visual analysis of location and tracking methods.
Capture the current characteristics of the use of most of the goals is to use radar, sonar, image and other methods. This article discusses ways to manage in the vehicle, ship detection and localization. metal detection and other aspects of certain application. Detection of ferromagnetic objects in a variety of broad significance. Target detection with some of the existing hair, to the specific target search and tracking played a better role.
This article discusses the various algorithms used to achieve target in question. When the target is only one. relatively simple mathematical model, the Newton iteration algorithm:When considering the actual situation of multiple targets or noise is more serious, consider particle swarm optimization algorithm and neural network algorithm. And the article gives some implementation of these algorithms and references.
引文
[1]张昌达.卫星磁测的过去,现在,未来[J].物探与化探.2003.10.
[2]McAulay A D. Real time model for airborne submarine localization using dual magnetic sensor[R], USA:boeing Doc 1975.
[3]Fan MW, Shao HG. G. Some experiences of using integral equation method to calculate magnetic fields [J]. IEEE Trans. on— M agnetics,1985.
[4]吴志明,杨燮龙等.一种新型的纳米巨磁阻抗磁敏传感器[J].功能材料.2004.
[5]周峰,刘卫东等.舰艇磁场磁偶极子阵列数学模型研究[J].计算机测量与控制.2008.10.
[6]周国华,刘大明.基于逐步回归法的潜艇高空磁场仿真[J].海军工程学报.2001.13.
[7]任来平,余成道等.均匀磁化球体的磁力线方程[J].海洋测绘.2005.9.
[8]封建湖,车刚明,聂玉峰.数值分析原理[M].科学出版社出版.51.81/9.
[9]戴华. Jacobi矩阵特征值反问题[J].计算物理.1994.
[10]RC Eberhat, Y Shim, J Kennedy.Swarm intelligence[M].2001.
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[12]吕振肃.自适应编译的粒子群优化算法[J].电子学报.2004.
[13]阎平凡,张长水.人工神经网络与模拟进化计算[M].清华大学出版社.2004-4.
[147王守觉王柏南.人工神经网络的多维空间几何分析及其理论[J].电子学报.2002.
[15]宋志安等.由阶跃响应曲线辨识传递函数的图解方法[J].山东科技大学学报(自然科学版).2003.
[16]姜鹏飞等.基于遗传算法和梯度下降的RBF神经网络组合训练方法[J].计算机应用.2007.
[17]祝传刚,陈标等.基于海洋磁异常特征的目标定位理论和方法[J].青岛 大学学报.2008-8.
[18]McLean S, Macmillan S, Mau s S, et al. US/UK World Magnetic Model for 2005—2010[J]. NOAA Technical Report NESDIS/NGDC—1.
[19]王金根,龚沈光.基于运动标量磁强计的磁性目标定位问题研究[J].电子学报,2002,7：1057—1060.
[20]F. Le Dorze, J.P. Bongiaud. M odeling of Degaussing Coils Effects in Shipsby the Method of Reduced Scalar PotentialJump[J]. IEEE
Trans. On M agnetics,, septem ber 1998.
[21]任丰原,黄海宁,林闯.无线传感器网络[J].软件学报.2003-7.
[22]Manjeshwar A, Agrawal DP. TEEN:A routing protocol for enhanced efficiency in wireless sensor networks[J]. Parallel and Distributed Processing Symposium. San Francisco:IEEE Computer Society,2001.
[23]Patrick Kinney. ZigBee Technology:Wireless Control that Simply Works[J]. Communications Design Conference. October 2003.
[24]张丽娟,王申良.基于STM32的语音识别系统的设计与实现[J].黑龙江科技信息.2011-2.
[25]包奇金宝 梁慧军.基于ZigBee技术的矿井智能头盔[J].实验室研究与探索.2010-4.
[26]邹凌,朱善安.非线性优化方法在脑电逆问题中的应用与比较[J].信息与控制.2004-4.
[27]李军远,李盛凤等.基于磁偶极子模型的管道机器人定位技术研究[J].电波科学学报.2006-8.
[28]朱昀 董大群.三轴磁强计对微弱磁信号的检测[J].仪器仪表学报.2001.6
[29]刘越,王涌天.测量运动物体姿态的三自由度定位算法的研究[J].计算机测量与控制.2002.10
[30]寇义民,温奇咏.一种基于地磁场曲面线性化拟合的快速导航定位方法[J].宇航学报.2009-3.
[2]McAulay A D. Real time model for airborne submarine localization using dual magnetic sensor[R], USA:boeing Doc 1975.
[3]Fan MW, Shao HG. G. Some experiences of using integral equation method to calculate magnetic fields [J]. IEEE Trans. on— M agnetics,1985.
[4]吴志明,杨燮龙等.一种新型的纳米巨磁阻抗磁敏传感器[J].功能材料.2004.
[5]周峰,刘卫东等.舰艇磁场磁偶极子阵列数学模型研究[J].计算机测量与控制.2008.10.
[6]周国华,刘大明.基于逐步回归法的潜艇高空磁场仿真[J].海军工程学报.2001.13.
[7]任来平,余成道等.均匀磁化球体的磁力线方程[J].海洋测绘.2005.9.
[8]封建湖,车刚明,聂玉峰.数值分析原理[M].科学出版社出版.51.81/9.
[9]戴华. Jacobi矩阵特征值反问题[J].计算物理.1994.
[10]RC Eberhat, Y Shim, J Kennedy.Swarm intelligence[M].2001.
[11]李爱国,覃征等.粒子群优化算法[J].计算机工程与应用.2002.
[12]吕振肃.自适应编译的粒子群优化算法[J].电子学报.2004.
[13]阎平凡,张长水.人工神经网络与模拟进化计算[M].清华大学出版社.2004-4.
[147王守觉王柏南.人工神经网络的多维空间几何分析及其理论[J].电子学报.2002.
[15]宋志安等.由阶跃响应曲线辨识传递函数的图解方法[J].山东科技大学学报(自然科学版).2003.
[16]姜鹏飞等.基于遗传算法和梯度下降的RBF神经网络组合训练方法[J].计算机应用.2007.
[17]祝传刚,陈标等.基于海洋磁异常特征的目标定位理论和方法[J].青岛 大学学报.2008-8.
[18]McLean S, Macmillan S, Mau s S, et al. US/UK World Magnetic Model for 2005—2010[J]. NOAA Technical Report NESDIS/NGDC—1.
[19]王金根,龚沈光.基于运动标量磁强计的磁性目标定位问题研究[J].电子学报,2002,7：1057—1060.
[20]F. Le Dorze, J.P. Bongiaud. M odeling of Degaussing Coils Effects in Shipsby the Method of Reduced Scalar PotentialJump[J]. IEEE
Trans. On M agnetics,, septem ber 1998.
[21]任丰原,黄海宁,林闯.无线传感器网络[J].软件学报.2003-7.
[22]Manjeshwar A, Agrawal DP. TEEN:A routing protocol for enhanced efficiency in wireless sensor networks[J]. Parallel and Distributed Processing Symposium. San Francisco:IEEE Computer Society,2001.
[23]Patrick Kinney. ZigBee Technology:Wireless Control that Simply Works[J]. Communications Design Conference. October 2003.
[24]张丽娟,王申良.基于STM32的语音识别系统的设计与实现[J].黑龙江科技信息.2011-2.
[25]包奇金宝 梁慧军.基于ZigBee技术的矿井智能头盔[J].实验室研究与探索.2010-4.
[26]邹凌,朱善安.非线性优化方法在脑电逆问题中的应用与比较[J].信息与控制.2004-4.
[27]李军远,李盛凤等.基于磁偶极子模型的管道机器人定位技术研究[J].电波科学学报.2006-8.
[28]朱昀 董大群.三轴磁强计对微弱磁信号的检测[J].仪器仪表学报.2001.6
[29]刘越,王涌天.测量运动物体姿态的三自由度定位算法的研究[J].计算机测量与控制.2002.10
[30]寇义民,温奇咏.一种基于地磁场曲面线性化拟合的快速导航定位方法[J].宇航学报.2009-3.