Redundancy-Removed Coprime Radar Array Construction With One-Bit Quantization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The high redundancy of coprime radar arrays leads to increased construction costs and complexity due to the need for more physical array elements to achieve the same aperture size as nested arrays.
Innovation Solution
A method and device for constructing a redundancy-removed coprime radar array using one-bit quantization and graph theory to optimize the initial sparse linear array structure, reducing the number of physical elements while maintaining aperture size, and employing one-bit quantization to reduce ADC costs and power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a coprime array is used to achieve a certain aperture size, then the angular resolution is improved, but the quantity of physical array elements increases, leading to higher construction cost
Solution Approach 1:
The patent extracts and removes redundant virtual array elements from the coprime array structure. By identifying and eliminating duplicate baseline vectors that provide no additional angular resolution information, the system maintains the required aperture size and measurement precision while significantly reducing the quantity of physical array elements needed.
Solution Approach 2:
The patent merges the functions of multiple redundant virtual elements into a single physical element. By combining the measurement capabilities of duplicate baselines and using graph theory to identify equivalent measurement paths, the system achieves the same angular resolution with fewer physical elements through functional consolidation.
2Length of stationary object
If a coprime array with more physical elements is used, then the aperture size is increased, but the device complexity increases
Solution Approach 1:
The patent extracts only the essential physical elements needed to achieve the desired aperture size, removing unnecessary redundant elements. By using graph theory to identify the minimum set of physical elements that provide complete baseline coverage, the system reduces device complexity while maintaining the required aperture dimensions.
Solution Approach 2:
The patent changes the configuration parameters of the array by optimizing the selection of physical element positions and spacings. By adjusting the baseline vectors and element distribution to eliminate redundancy while preserving aperture size, the system achieves the desired physical dimensions with a simpler, more efficient device structure.
3Use of energy by stationary object
If one-bit quantization is applied to the echo data, then the ADC cost and power consumption are reduced, but the signal precision is degraded
Solution Approach 1:
The patent converts the potential harm of one-bit quantization (precision loss) into a benefit by leveraging the redundancy-removed coprime array structure. The optimized array configuration compensates for the reduced precision through improved spatial sampling efficiency and enhanced signal subspace estimation, transforming the limitation into an opportunity for algorithmic optimization that actually improves overall system performance.
Solution Approach 2:
The patent changes the quantization parameter from multi-bit to one-bit, which dramatically reduces ADC cost and power consumption. This parameter change is compensated for by optimizing the array geometry and signal processing algorithms, which extract maximum information from the limited one-bit data, thereby maintaining acceptable signal precision despite the aggressive quantization.
Data Source
AI summary
A method and a device for constructing a redundancy-removed coprime radar array based on one-bit quantization. The method includes obtaining a first sub-array element and a second sub-array element both used for constructing a redundancy-removed coprime radar array, and determining a redundancy-removed coprime array respectively corresponding to the first sub-array element and the second sub-array element by a graph theory method; obtaining target echo data of the redundancy-removed coprime array, and obtaining a target radar array by performing one-bit quantization on the target echo data for completing array cavities of the redundancy-removed coprime array; moreover, before the completing, positions of all non-empty array elements in a redundancy coprime array are used to place radars, and before the completing, the radars are not arranged in positions of empty array elements.