Multi-Frequency Phase Ranging Under Deep Fade Conditions
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Solution Overview
Problem
Existing wireless communication technologies face challenges in accurately determining range between devices in the presence of deep fade conditions, which can lead to inaccurate location and motion estimation.
Innovation Solution
The method involves transmitting and receiving signals at multiple frequencies, determining phase measurements, identifying deep-fade frequencies, dividing the frequency band into sub-bands, and constructing root channels to estimate range, thereby improving accuracy in range estimation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional ranging methods are used in multipath environments, then the system is simple to implement, but ranging accuracy deteriorates due to deep fade conditions
Solution Approach 1:
The frequency band is divided into multiple sub-bands based on identified deep-fade frequencies. By segmenting the frequency spectrum, the system can selectively use sub-bands that are free from deep fade effects, thereby maintaining ranging accuracy while managing complexity through structured frequency utilization.
Solution Approach 2:
The system dynamically adjusts the frequency parameters by identifying deep-fade frequencies and reconfiguring the frequency bands into sub-bands. This parameter change approach allows the system to adapt to multipath conditions and select optimal frequency ranges for accurate ranging.
2Measurement precision
If multiple frequency signals are transmitted to improve ranging accuracy, then measurement precision improves, but the complexity of signal processing increases
Solution Approach 1:
Multiple frequency signals are segmented into sub-bands based on deep-fade identification. This segmentation allows the system to process frequencies in manageable groups, reducing the overall processing complexity while maintaining the benefits of multi-frequency measurement for improved accuracy.
Solution Approach 2:
The system extracts and removes frequencies that correspond to deep fade conditions from the analysis. By taking out problematic frequency components, the system can focus processing resources on valid frequency ranges, improving accuracy without proportionally increasing complexity.
3Measurement precision
If deep-fade frequencies are identified and excluded, then ranging accuracy improves, but the frequency band utilization decreases
Solution Approach 1:
The frequency band is segmented into usable sub-bands and excluded deep-fade regions. This segmentation allows the system to maximize utilization of valid frequency resources while avoiding problematic areas, achieving a balance between accuracy and bandwidth efficiency.
Solution Approach 2:
Different portions of the frequency spectrum are treated differently based on their quality. High-quality frequency regions are used for ranging, while deep-fade regions are excluded. This local differentiation optimizes the use of available bandwidth by focusing on the most reliable frequency segments.
Data Source
AI summary
A method for determining a range estimate includes: transmitting, from a first apparatus, a plurality of first signals with respective frequencies spanning a frequency band; receiving first phase measurement information, from a second apparatus; receiving, at the first apparatus from the second apparatus, a plurality of second signals with respective frequencies; measuring, at the first apparatus, phase of each of the plurality of second signals to obtain second phase measurement information; determining a plurality of product channels by multiplying the first phase measurement information by the second phase measurement information; determining at least one deep-fade frequency; determining a plurality of sub-bands based on the at least one deep-fade frequency; determining a plurality of root channels corresponding to the plurality of sub-bands; and determining the range estimate based on the plurality of root channels.