Impact of Low-Resolution ADC on DOA Estimation Performance for Massive MIMO Receive Array
نویسندگان
چکیده
In this paper, we present a new scenario of direction arrival (DOA) estimation using massive multiple-input multiple-output (MIMO) receive array with low-resolution analog-to-digital convertors (ADCs), which can strike good balance between performance and circuit cost. Based on the linear additive quantization noise model (AQNM), effect ADCs methods, such as Root-MUSIC method, is analyzed. Also, closed-form expression Cramer-Rao lower bound (CRLB) derived to evaluate loss caused by ADCs. The simulation results show that methods achieve corresponding CRLB. Furthermore, 2-3 bits are acceptable for most applications if 1dB loss.
منابع مشابه
Low-Complexity and High-Resolution DOA Estimation for Hybrid Analog and Digital Massive MIMO Receive Array
A large-scale fully-digital receive antenna array can provide very high-resolution direction of arrival (DOA) estimation, but resulting in a significantly high RF-chain circuit cost. Thus, a hybrid analog and digital (HAD) structure is preferred. Two phase alignment (PA) methods, HAD PA (HADPA) and hybrid digital and analog PA (HDAPA), are proposed to estimate DOA based on the parametric method...
متن کاملFast Algorithm for Maximum Likelihood DOA Estimation in MIMO Array
Maximum Likelihood estimator (ML) has shown excellent performance of Direction Of Arrival (DOA) estimation in Multiple Input Multiple Output (MIMO) array. However, the computation burden of MIMO ML is very large. In order to resolve this problem, a novel MIMO Maximum Likelihood DOA Estimation based on Metropolis-Hasting Sampling (MIMO MHML) is proposed, which combines Markov Monte Carlo method ...
متن کاملBlind Joint Doa and Dod Estimation and Iden- Tifiability Results for Mimo Radar with Dif- Ferent Transmit/receive Array Manifolds
This paper derives its link of direction of arrival (DOA) and direction of departure (DOD) estimation problem for multiinput multi-output (MIMO) radar to the trilinear model. With the exploitation of this link, we present a trilinear decompositionbased blind algorithm for angle estimation in MIMO radar. After the algorithmic presentation and discussions for identifiability results, trilinear de...
متن کاملJoint DOA and Array Manifold Estimation for a MIMO Array Using Two Calibrated Antennas
A simple scheme for joint direction of arrival (DOA) and array manifold estimation for a MIMO array system is proposed, where only two transmit antennas are calibrated initially. It first obtains a set of initial DOA results by employing a rotational invariance property between two sets of received data, and then more accurate DOA and array manifold estimation is obtained through a local search...
متن کاملSemi-Blind Channel Estimation based on subspace modeling for Multi-user Massive MIMO system
Channel estimation is an essential task to fully exploit the advantages of the massive MIMO systems. In this paper, we propose a semi-blind downlink channel estimation method for massive MIMO system. We suggest a new modeling for the channel matrix subspace. Based on the low-rankness property, we have prposed an algorithm to estimate the channel matrix subspace. In the next step, using o...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Systems Journal
سال: 2022
ISSN: ['1932-8184', '1937-9234', '2373-7816']
DOI: https://doi.org/10.1109/jsyst.2021.3139449