Optimal Pulse Generation for Transducer Resolution
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Solution Overview
Problem
Conventional pulse compression techniques in imaging systems, such as RADAR, ultrasound, and MRI, are limited by the bandwidth of transducers, leading to suboptimal resolution and signal modification due to electromechanical impulse responses, resulting in poor image quality and artifacts.
Innovation Solution
The development of an optimal pulse generation method that accounts for the impulse response functions of transducers, using a Gaussian function and Fourier transforms to produce an optimal pulse that minimizes signal modification and maintains desired signal form, thereby enhancing resolution and image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional pulse compression techniques are used, then signal transmission is achieved, but resolution is limited by transducer bandwidth
Solution Approach 1:
The patent changes the parameters of the transmitted pulse from conventional rectangular or linear chirp signals to optimized pulses with specific amplitude and phase characteristics. By adjusting pulse parameters (amplitude modulation, phase modulation) to match the transducer's impulse response, the system achieves better resolution within the fixed bandwidth constraints of the transducer.
2Ease of manufacture
If standard pulses are transmitted, then signal generation is simple, but signal modification by transducer impulse response degrades image quality
Solution Approach 1:
The patent applies preliminary action by pre-compensating for the transducer's impulse response effects before signal transmission. The optimized pulse is designed in advance with specific characteristics that counteract the expected signal modification by the transducer, ensuring the transmitted signal maintains the desired form after passing through the transducer system.
3Ease of operation
If transducer impulse response effects are ignored, then system operation is simple, but signal distortion increases
Solution Approach 1:
The patent incorporates feedback by using knowledge of the transducer's impulse response to design optimized pulses. The system measures or obtains the transducer's impulse response characteristics and uses this information to adjust the pulse parameters, creating a feedback loop that compensates for transducer-specific distortions and improves signal fidelity.
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
The optimal pulse approach significantly improves range and spatial resolution, reduces signal distortion, and produces clearer images by accounting for transducer properties, effectively overcoming the limitations of conventional methods.
Implementation Method 1
a processor configured to correlate the second digital signal with the first digital signal in order to generate an image
Implementation Method 2
an operations component configured to receive a first digital signal, convert the first digital signal into an analog signal and transmit the analog signal toward a target
Implementation Method 3
receive a reflected signal from the target, and convert the reflected signal into a second digital signal
Implementation Method 4
using a Gaussian function and Fourier transforms to produce an optimal pulse that minimizes signal modification
Data Source
AI summary
Systems and methods of optimal pulse compression are described. A method of determining an optimal pulse takes as an input a function of the impulse response of a transducer and produces a pulse optimized for transmission through that transducer. Images then produced with that transducer will have both superior range and spatial resolution.