Atomic Network-Based DOA Estimation Using Low-Bit ADC

Shuran Sheng,Lenan Wu,Peng Chen,Zhimin Chen,Yuxuan Yao

doi:10.3390/electronics10060738

Shuran Sheng, Lenan Wu + Show 3 more

Open Access

https://doi.org/10.3390/electronics10060738

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Journal: Electronics	Publication Date: Mar 20, 2021
Citations: 1	License type: CC BY 4.0

Affiliation: Southeast University, Shanghai Dianji University

Abstract

In the direction of arrival (DOA) estimation problem, when a low-bit analog to digital converter (ADC) is used, the estimation performance severely deteriorates. In this paper, the DOA estimation problem is considered in a low-cost direction finding system with low-bit ADC. To eliminate quantization noise, we propose a novel network ADCnet, which is a composition of fully connected layers and exponential linear unit (ELU) layers, and the input signals are the received signals using low-bit ADC. After the ADCnet, an AtomicNet is also proposed to estimate the DOA from the denoised signals, where atomic vectors are corresponding to the steer vectors. A loss function considering both the reconstruction performance and the sparsity is proposed in the AtomicNet. Different from the exiting atomic norm-based methods, the proposed method can avoid an optimization problem and estimate the DOA with lower computational complexity. Simulation results show that the proposed method outperforms the existing methods in the DOA estimation performance using low-bit ADC.

Highlights

The direction of arrival (DOA) [1,2,3] estimation problem is a fundamental problem in the application of wireless communications and radar systems [1,3,4,5], and an array is adopted to estimate the DOA from the different phases of the received signals
Since the atomic norm minimization (ANM)-based method cannot be used in the DOA estimation problem with low-bit analog to digital converter (ADC), we propose an atomic network (AtomicNet), which can be used for the DOA estimation for the sparse and quantized signals
The DOA estimation problem in the scenario using the low-bit ADC has been considered, and we have proposed the ADCnet to denoise the received signals and the AtomicNet to estimate the DOA with the low-bit ADC

Summary

Introduction

The direction of arrival (DOA) [1,2,3] estimation problem is a fundamental problem in the application of wireless communications and radar systems [1,3,4,5], and an array is adopted to estimate the DOA from the different phases of the received signals. To estimate the second-order statistics exactly, many more samples must be used, so the DOA cannot be estimated in real-time To solve this problem and improve the DOA estimation performance, sparse-based methods have been proposed. The DOA estimation problem is considered in the scenario with low-bit ADC, which can be used in the low-price radar or wireless communication systems, since the price of the high-bit ADC is expensive and cannot be used widely. In the AtomicNet, the sparsity of the received signals in the spatial domain is exploited, so a new type of loss function composed of both reconstruction performance and sparsity is proposed.

System Model Using Low-Bit ADC

The Atomic Norm-Based DOA Estimation

Prevision Work

Proposed Atomic Network

Simulation Results

Conclusions