Channel-Adaptive Location-Assisted Wake-up Signal Detection Approach Based on LFM Over Underwater Acoustic Channels

Deqing Wang,Haiyu Li,Xiaoyi Hu,Liqun Fu,Yongjun Xie

doi:10.1109/access.2019.2926531

Deqing Wang, Haiyu Li + Show 3 more

Open Access

https://doi.org/10.1109/access.2019.2926531

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Abstract

This paper focuses on the wake-up signal detection design for underwater acoustic communication (UAC) terminals. A wake-up signal detection unit can considerably reduce the power consumption of the terminals. Compared with terrestrial wireless counterparts, the wake-up signal detection design for UAC terminals is challenged by the severe underwater acoustic channels, which is characterized as doubly selective fading and low signal-to-noise ratio (SNR). This paper proposes a wake-up signal detection approach called channel-adaptive detection and location-assisted joint decision (ChAD-LaJD), for UAC terminals. ChAD-LaJD applies a group of linear frequency modulation (LFM) signals as a wake-up signal. In order to increase the detection probability while keeping a low false alarm rate, ChAD-LaJD consists of two procedures: channel-adaptive detection (ChAD) and location-assisted joint decision (LaJD). Besides a pre-determined threshold, ChAD procedure defines two special parameters which reflect instantaneous channel states to detect wake-up signals adaptively. LaJD procedure further exploits the location relationships of LFM signals detected by ChAD to achieve a joint decision. The simulations and field experiments are conducted to evaluate the performance of ChAD-LaJD. The results show that ChAD-LaJD outperforms the conventional methods that consider a fixed threshold (FixTh) and/or constant false alarm rate (CFAR).

Highlights

Underwater acoustic communication (UAC) or underwater acoustic sensor networks (UASNs) have attracted much research interest in recent years because of their wide range of potential applications, such as marine resources exploitation, industrial instrumentation and control, military surveillance, and security monitoring [1], [2]
We propose a novel linear frequency modulation (LFM)-based wake-up signal detection approach named as Channel-Adaptive Detection Location-assisted Joint Decision (ChAD-location-assisted joint decision (LaJD)) for UAC terminals
The PFA of channel-adaptive detection (ChAD)-LaJD is better than other methods and reaches below 0.01 at all signal-to-noise ratio (SNR) because of its joint decision mechanism, which is featured with diversity characteristic

Summary

INTRODUCTION

Underwater acoustic communication (UAC) or underwater acoustic sensor networks (UASNs) have attracted much research interest in recent years because of their wide range of potential applications, such as marine resources exploitation, industrial instrumentation and control, military surveillance, and security monitoring [1], [2]. D. Wang et al.: Channel-Adaptive Location-Assisted Wake-up Signal Detection Approach Based on LFM. The time-selective characteristics of underwater acoustic channel destroy the autocorrelation properties of PN sequences, resulting in low detection probability. We propose a novel LFM-based wake-up signal detection approach named as Channel-Adaptive Detection Location-assisted Joint Decision (ChAD-LaJD) for UAC terminals. ChAD-LaJD aims to increase the detection probability while keeping a low false alarm rate over doubly-selective underwater acoustic channels. Compared with the RC-based detection method [7], ChAD-LaJD does not require a precise threshold It is suitable for the doubly-selective channels, while the traditional detection methods applying common false alarm rate technique [16] only consider ambient noise.

SYSTEM MODEL

DETECTION PROBABILITY AND FALSE ALARM RATE

Findings

CONCLUSIONS