Radar SPU Peak Cell Interpolation Circuit
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The increasing resolution of radar data processing leads to a significant workload for Digital Signal Processors (DSPs) performing parabolic interpolation, requiring substantial energy and computational resources for data access, signal power computation, and interpolation.
Innovation Solution
A Signal Processing Unit (SPU) with an integrated or tightly coupled thresholding circuit and parabolic interpolation circuit that detects peak cells in radar data cubes, determining their relative positions and energies on-the-fly, reducing the DSP's workload by performing these tasks concurrently and optimizing data access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the DSP performs parabolic interpolation to improve measurement precision, then the interpolation accuracy is improved, but the energy consumption and computational workload increase
Solution Approach 1:
The patent extracts the parabolic interpolation function from the DSP and implements it in dedicated hardware circuitry. The interpolation circuit is configured to receive signal power values from the DSP and autonomously perform parabolic interpolation to determine peak cell positions, thereby removing this computationally intensive task from the DSP's workload while maintaining interpolation accuracy.
Solution Approach 2:
The patent introduces an intermediary interpolation circuit that acts as a mediator between the DSP and the peak detection process. This circuit receives raw signal power data from the DSP, performs the interpolation calculations, and returns refined peak position information, thereby offloading computational burden from the DSP while preserving measurement precision.
2Productivity
If the DSP computes signal power and performs parabolic interpolation to improve productivity, then the processing capability is improved, but the device complexity increases
Solution Approach 1:
The patent segments the signal processing function into distinct modular components: the DSP performs FFT and signal power computation, while a separate interpolation circuit performs parabolic interpolation. This segmentation allows each component to be optimized independently and reduces the computational burden on the DSP, thereby improving overall processing capability without significantly increasing system complexity.
Solution Approach 2:
The patent replaces the software-based parabolic interpolation algorithm (which would consume significant DSP resources) with a hardware-based interpolation circuit. This substitution moves the interpolation function from the computational domain to the logical/circuit domain, improving processing capability while keeping the added complexity minimal since the hardware circuit performs a well-defined mathematical operation.
3Measurement precision
If the DSP reads radar memory to extract peak cell information to improve measurement precision, then the interpolation accuracy is improved, but the access time and energy consumption increase
Solution Approach 1:
The patent applies preliminary action by having the DSP compute and store signal power values in memory before the interpolation step. The interpolation circuit then directly accesses these pre-computed power values without requiring additional memory reads, thereby reducing access time while maintaining the accuracy needed for precise peak cell identification.
Data Source
AI summary
A Signal Processing Unit (SPU) having a thresholding circuit configured to detect a peak cell of a radar data cube, and to output an identification of the peak cell and energy values of the peak cell and its adjacent cells; and an interpolation circuit coupled to the thresholding circuit, and configured to determine and transmit from the SPU to a Digital Signal Processor (DSP), a relative position of the peak cell between the adjacent cells based on the energy values.