Echolocation Data Partition Compression for Lower Memory Bandwidth
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Echolocation devices, such as RADAR, produce large amounts of data that require significant computer memory and processor bandwidth for storage and processing, leading to inefficiencies in data management.
Innovation Solution
A method and system for compressing echolocation data by dividing it into partitions, combining data from selected partitions, and storing the combined data in memory, thereby reducing storage requirements and improving processing efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If echolocation data is stored in full detail, then target detection accuracy is maintained, but storage requirements and processing bandwidth increase significantly
Solution Approach 1:
The patent segments the large volume of echolocation data into multiple partitions based on range bins. By dividing the data into manageable segments, the system can selectively process and store only the most relevant partitions, reducing overall storage requirements while maintaining detection accuracy for critical targets.
Solution Approach 2:
The patent extracts and prioritizes important targets from the complete echolocation data set. By identifying and separating critical target information from less important data, the system stores only the essential information needed for accurate target detection, thereby reducing storage requirements without compromising reliability.
2Loss of information
If all echolocation data partitions are stored, then complete target information is preserved, but memory usage and processing complexity increase
Solution Approach 1:
The patent divides echolocation data into range bin partitions and processes them in a structured sequence. This segmentation allows the system to handle data in manageable chunks rather than processing the entire data set at once, reducing processing complexity while systematically preserving important target information.
Solution Approach 2:
The patent performs preliminary processing of echolocation data by combining partitions in a specific sequence before final storage. By pre-combining certain partitions and identifying important targets early in the process, the system reduces the complexity of subsequent processing steps while ensuring complete target information is preserved.
3Quantity of substance
If data from multiple partitions is combined, then storage efficiency improves, but signal-to-noise ratio decreases
Solution Approach 1:
The patent applies partial combining of partitions rather than combining all partitions uniformly. By selectively combining only certain partitions and leaving others separate, the system achieves moderate storage efficiency improvements while limiting the degradation of signal-to-noise ratio that would occur with complete data combination.
Data Source
AI summary
A method for compressing echolocation data is provided. The method includes dividing the echolocation data into a plurality of partitions, and selecting a first partition for processing. The method also includes combining echolocation data from the first partition with echolocation data within a second partition, and combining echolocation data from the first partition with echolocation data within a third partition. The method further includes storing the combined echolocation data for all of the plurality of partitions except for the first partition in a memory.