针对三维DV-Hop无线传感器定位算法存在定位误差较大的问题,提出了近似投影校正的无线传感器网络非测距三维定位算法。充分利用已有的地形特点,将经典的三维DV-Hop算法所求得的结果进行近似投影,尽可能投影到离地形表明较近的地方,大幅度减小了定位误差。用二维高斯分布密度函数模拟山头地形的场景中,相对定位误差为35%左右,较大幅度提高了定位精度,有较高的实用价值。%This paper presents a non-dimensional distance wireless sensor network localization algorithm based on approximate projection correction for the problem that the localization error is large. The results which get by using the least squares method is approximate projected as close as possible to the surface of the mountain which full use of existing terrain features,greatly reducing the location error. In the two-dimensional Gaussian distribution density function simulation scenarios,the relative localization error is about 35%,dramatically increased the accuracy of lo-cation and it have high practical value.
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