DOA Estimation on One-Bit Quantization Observations through Noise-Boosted Multiple Signal Classification
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View abstract on PubMed
Summary
This summary is machine-generated.This study introduces a noise-boosted quantizer unit (NBQU) for improved direction-of-arrival (DOA) estimation using one-bit quantized data. The NBQU method enhances accuracy and resolution compared to existing one-bit techniques.
Area Of Science
- Signal Processing
- Array Signal Processing
- Information Theory
Background
- One-bit quantized data offers low-complexity implementation for Direction-of-Arrival (DOA) estimation.
- Existing signal processing methods struggle to achieve sufficient estimation accuracy with one-bit data.
- Multiple Signal Classification (MUSIC) is a common DOA estimation algorithm.
Purpose Of The Study
- To propose an efficient one-bit MUSIC method for DOA estimation using a novel noise-boosted quantizer unit (NBQU).
- To improve the estimation accuracy and resolution of DOA estimation with one-bit quantized data.
- To investigate the impact of injected noise on the performance of one-bit DOA estimation.
Main Methods
- Injecting noise components into receiving data before a uniform linear array (ULA) of one-bit quantizers.
- Designing a noise-boosted quantizer unit (NBQU) based on the noise-injected data.
- Developing an efficient one-bit MUSIC algorithm utilizing the NBQU for DOA estimation.
Main Results
- The proposed NBQU-based MUSIC method demonstrates superior estimation accuracy and resolution compared to existing one-bit MUSIC methods.
- Numerical results confirm the performance enhancement achieved by injecting noise.
- Optimal root mean square (RMS) of injected noise allows the proposed method's accuracy to approach that of MUSIC using complete analog data.
Conclusions
- The NBQU-based MUSIC method significantly improves DOA estimation accuracy and resolution for one-bit quantized data.
- Injected noise, when optimally managed, is crucial for enhancing the performance of one-bit DOA estimation.
- This approach offers a promising solution for accurate DOA estimation in low-complexity, one-bit systems.
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