Laboratory for Acquisition, Processing and Manipulating Biological Signals, Institute of System Integration and Security, Tomsk State University of Control Systems and Radioelectronics, 40 Lenina Ave., 634050 Tomsk, Russia.
Department of Complex Information Security of Computer Systems, Faculty of Security, Tomsk State University of Control Systems and Radioelectronics, 40 Lenina Ave., 634050 Tomsk, Russia.
Sensors (Basel). 2022 Jan 26;22(3):965. doi: 10.3390/s22030965.
This paper considers the application of signal processing methods to passive indoor positioning with acoustics microphones. The key aspect of this problem is time-delay estimation (TDE) that is used to get the time difference of arrival of the source's signal between the pair of distributed microphones. This paper studies the approach based on generalized phase spectrum (GPS) TDE methods. These methods use frequency-domain information about the received signals that make them different from widely applied generalized cross-correlation (GCC) methods. Despite the more challenging implementation, GPS TDE methods can be less demanding on computational resources and memory than conventional GCC ones. We propose an algorithmic implementation of a GPS estimator and study the various frequency weighting options in applications to TDE in a small room acoustic environment. The study shows that the GPS method is a reliable option for small acoustically dead rooms and could be effectively applied in presence of moderate in-band noises. However, GPS estimators are far less efficient in less acoustically dead environments, where other TDE options should be considered. The distinguishing feature of the proposed solution is the ability to get the time delay using a limited number of the adjusted bins. The solution could be useful for passively locating moving emitters of narrow-band continual noises using computationally simple frequency detection algorithms.
本文研究了信号处理方法在基于声学麦克风的被动式室内定位中的应用。该问题的关键在于时差估计(TDE),它用于获取源信号在一对分布式麦克风之间的到达时间差。本文研究了基于广义相位谱(GPS)TDE 方法的方法。这些方法利用接收信号的频域信息,使它们与广泛应用的广义互相关(GCC)方法有所不同。尽管 GPS TDE 方法的实现更具挑战性,但与传统的 GCC 方法相比,它们对计算资源和内存的要求可能较低。我们提出了一种 GPS 估计器的算法实现,并研究了在小房间声学环境中的 TDE 应用中各种频率加权选项。研究表明,GPS 方法是小无声学死区的可靠选择,并且可以在中等带内噪声存在的情况下有效地应用。然而,GPS 估计器在声学死区较小的环境中效率要低得多,在这种情况下应该考虑其他 TDE 选项。所提出解决方案的特点是能够使用有限数量的调整 bin 来获取时间延迟。该解决方案可用于使用计算简单的频率检测算法被动定位窄带连续噪声的移动发射器。