Abstract

Joint direction of arrival (DOA) and time delay (TD) estimation of wideband signals such as WIFI and mobile communication signals has to face the challenges aroused by multipath effect in indoor environments. New methods that can deal with coherent wideband signals with high estimation accuracy are necessary. To achieve localization when signals are coherent, this paper proposes a new joint estimation method which fully utilizes the subcarriers of wideband signals. This method could greatly extend the array aperture and accomplish the joint estimation through UCA-ESPRIT and one-dimensional (1-D) search. Simulation experiments are conducted to show the validity and efficiency of this method.

Highlights

  • WIFI and mobile communication signals are typical wideband signals that have been widely applied in recent decades

  • For wideband signals in indoor environments, this paper proposes a novel joint direction of arrival (DOA) and time delay (TD) estimation method that can deal with coherent signals

  • The virtual array aperture is greatly expanded by dividing wideband signals into several subcarriers

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Summary

Introduction

WIFI and mobile communication signals are typical wideband signals that have been widely applied in recent decades. As location-based services are becoming more and more popular, localization based on WIFI and mobile communication signals in indoor environments has a promising prospect [1]. These wideband signals utilize multi-carrier modulation (MCM) technology which contains more frequency points than traditional narrowband signals [2]. While some others have too high computational complexity and poor estimation accuracy [6] In this way, we propose a novel method for joint estimation in multipath environments based on UCA that can achieve both low computation and high accuracy. The estimation results show the performance of our proposed method

Signal model
Virtual spatial smoothing
UCA-ESPRIT for DOA estimation
Simulation results
Conclusion

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