利用接收信号强度对多个非合作辐射源进行地理定位：稀疏性、分辨率和可检测性
Geolocation of Multiple Noncooperative Emitters Using Received Signal Strength: Sparsity, Resolution, and Detectability
摘要：
在本文中，我们研究的问题，定位多个非合作的射频（RF）辐射源仅使用接收信号强度（RSS）数据。我们假设发射器的数量是未知的，并且在RSS数据中无法区分各个发射器。此外，我们假设收集数据的环境没有被映射或“指纹”的RSS数据的先前收集。我们的主要兴趣是通过这种类型的数据可以获得的有限分辨率，以及可以检测到的最低功率发射器，作为噪声水平，传感器几何形状和其他变量的函数。我们制定的稀疏近似或压缩感知的恢复问题，并调查一个适当的恢复算法，这种设置，并用它来说明我们的结论。我们还包括重建的基础上，我们收集的采样数据，以说明我们的参数选择和结论的合理性。
英文摘要：
In this paper we investigate the problem of locating multiple non-cooperative radio frequency (RF) emitters using only received signal strength (RSS) data. We assume that the number of emitters is unknown and that individual emitters cannot be distinguished in the RSS data. Moreover, we assume that the environment in which the data has been collected has not been mapped or "fingerprinted" by the prior collection of RSS data. Our primary interest is the limiting resolution that can be obtained by this type of data, and the lowest power emitters that can be detected, as a function of noise level, sensor geometry, and other variables. We formulate the recovery problem as one of sparse approximation or compressed sensing, and investigate an appropriate recovery algorithm for this setting, and use it to illustrate our conclusions. We also include a reconstruction based on sampled data we collected, to illustrate the reasonableness of our parameter choices and conclusions.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
