Abstract

Recently, the concept of the difference and sum coarray has attracted increasing interest in the direction of the arrival estimation field because it can generate enhanced degrees of freedom. In this paper, we propose an improved transformed nested array design strategy by relaxing the constraints on the dense subarray of the transformed nested array. Then, three conditions are given for the array design to ensure the continuity of the difference and sum coarray. Based on the strategy, we develop a novel nested configuration named coprime transformed nested array (CTNA) whose dense subarray is a coprime structure, and the closed-form expressions for the sensor positions and the range of consecutive coarray are derived. CTNA can increase the number of degrees of freedom (DOFs) compared to the existing nested arrays, while the mutual coupling effect can be maintained at the same low level as the coprime arrays, which indicates that CTNA has the merits of both nested array and coprime array. Numerical simulations are performed to verify the superiority of the proposed array configuration in terms of the number of DOFs, mutual coupling and direction of arrival (DOA) estimation accuracy.

Highlights

  • Direction of arrival (DOA) estimation is an important topic in array signal processing and has been extensively applied in various fields, such as radar, sonar, navigation and wireless communication [1–8]

  • Property 3 shows that the proposed coprime transformed nested array (CTNA) can significantly reduce the mutual coupling effect since the number of sensor pairs with small spacing is independent of the array size

  • We perform 500 Monte Carlo simulations to further compare the DOA estimation accuracy through the root mean square error (RMSE), which is defined as v u u 1 500 K

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Summary

Introduction

Direction of arrival (DOA) estimation is an important topic in array signal processing and has been extensively applied in various fields, such as radar, sonar, navigation and wireless communication [1–8]. To increase the number of consecutive virtual elements, the diff-sum nested array (DsNA) [28] is designed by rearranging half of the sensors in the dense subarray to the sparse subarray. We propose an improved transformed nested array design strategy, which relaxes the constraints on the dense subarray of TNA and provides three continuity conditions to ensure that the corresponding diff-sum coarray has a long consecutive segment. Based on this strategy, we design a novel nested configuration named coprime transformed nested array (CTNA), whose dense subarray is a coprime array. The coprime array is more sparse than the existing dense subarrays since the number of sensor pairs with small spacing is independent of the array size, which significantly reduces the mutual coupling effect.

Data Model
VCAM Algorithm
Mutual Coupling
Improved Transformed Nested Array Design Strategy
Array Configuration
Degree of Freedom
Weight Function
Numerical Simulations
Degrees of Freedom Ratio
Coupling Leakage
DOA Estimation
RMSE Results
Conclusions
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