Transceiver Tunable Filter Calibration for UWB Interference
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Solution Overview
Problem
Ultra-wideband (UWB) communication systems are susceptible to interference due to their wideband, low transmission power characteristics, which makes them vulnerable to out-of-band interference from other devices, necessitating effective filtering solutions to enhance signal quality.
Innovation Solution
The method involves calibrating tunable filters in both receivers and transmitters by injecting a local oscillator (LO) signal, filtering, frequency down-converting, sampling, and determining optimal filter tuning based on the samples to maximize in-band gain, out-of-band rejection, or frequency response flatness, using logic circuitry to adjust and characterize the filters for improved interference rejection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If bandpass filtering is applied to reduce out-of-band interference, then signal quality is improved, but device complexity increases due to the need for tunable filters and calibration mechanisms
Solution Approach 1:
The system performs self-calibration by automatically determining optimal filter tuning parameters through injection of test signals and analysis of the response. The transceiver calibrates its own tunable filters without requiring external calibration equipment, thereby improving signal quality while avoiding the complexity of manual calibration systems.
Solution Approach 2:
The patent dynamically adjusts filter tuning parameters based on the determined calibration data. By changing the filter parameters (such as center frequency and bandwidth) according to the calibrated values, the system adapts to different operating conditions and maintains optimal signal quality across varying frequencies and interference environments.
2Productivity
If wideband transmission is used to achieve high data rates, then productivity is improved, but susceptibility to interference increases
Solution Approach 1:
The system employs dynamic filter tuning where the filter characteristics are adjusted in real-time based on the operating frequency and interference conditions. This dynamic adaptation allows the wideband transceiver to maintain high data rates while selectively rejecting out-of-band interference by optimizing filter parameters for each transmission scenario.
Solution Approach 2:
The calibration process incorporates feedback mechanisms where the system measures the actual filter response and uses this information to determine optimal tuning parameters. This feedback loop ensures that the filter settings are continuously optimized to maximize data rate while minimizing interference susceptibility across the wide operating bandwidth.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach effectively reduces interfering signals by optimizing filter tuning, thereby enhancing the signal quality and robustness of UWB communication systems, ensuring compliance with regulatory power limits and maintaining high data rate communications.
Implementation Method 1
The injected LO signal is filtered by a tunable filter
Implementation Method 2
The filtered signal is frequency down-converted with an equivalent LO signal
Data Source
AI summary
A method and apparatus of calibrating filtering of receive and transmit signals is disclosed. The method of calibrating filtering of a received signal includes injecting an LO signal. The injected LO signal is filtered by a tunable filter. The filtered signal is frequency down-converted with an equivalent LO signal. The frequency down-converted signal is sampled while tuning the filtering. A desired filter tuning is determined based upon the samples and a frequency of the LO signal. The method of calibrating filtering of a transmit signal includes injecting an LO signal to a transmitter. The LO signal is filtered by a tunable filter. The filtered signal is frequency down-converted with an equivalent LO signal. The frequency down-converted signal is sampled while tuning the filter. A desired filter tuning is determined based upon the samples and a frequency of the LO signal.