Physics Maths Engineering
Mohit Kumar,
P. Keith Kelly
This article develops the applicability of non-linear processing techniques such as Compressed Sensing (CS), Principal Component Analysis (PCA), Iterative Adaptive Approach (IAA), and Multiple-input-multiple-output (MIMO) for the purpose of enhanced UAV detections using portable radar systems. The combined scheme has many advantages and the potential for better detection and classification accuracy. Some of the benefits are discussed here with a phased array platform in mind, the novel portable phased array Radar (PWR) by Agile RF Systems (ARS), which offers quadrant outputs. CS and IAA both show promising results when applied to micro-Doppler processing of radar returns owing to the sparse nature of the target Doppler frequencies. This shows promise in reducing the dwell time and increases the rate at which a volume can be interrogated. Real-time processing of target information with iterative and non-linear solutions is possible now with the advent of GPU-based graphics processing hardware. Simulations show promising results.
The study explores the application of non-linear processing techniques—such as Compressed Sensing (CS), Principal Component Analysis (PCA), Iterative Adaptive Approach (IAA), and Multiple-Input-Multiple-Output (MIMO)—to enhance unmanned aerial vehicle (UAV) detection using portable radar systems.
Combining these techniques can improve detection and classification accuracy of UAVs. For instance, CS and IAA are effective in micro-Doppler processing of radar returns due to the sparse nature of target Doppler frequencies, which can reduce dwell time and increase the rate of volume interrogation.
The study utilizes the novel portable phased array radar (PWR) developed by Agile RF Systems (ARS), which offers quadrant outputs, to demonstrate the effectiveness of these combined non-linear processing techniques.
The advent of GPU-based graphics processing hardware enables real-time processing of target information using iterative and non-linear solutions, making the application of these techniques more feasible in practical scenarios.
Simulations conducted in the study show promising results, indicating that the combined application of these non-linear processing techniques can effectively enhance UAV detection capabilities in portable radar systems.
Show by month | Manuscript | Video Summary |
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2025 April | 4 | 4 |
2025 March | 68 | 68 |
2025 February | 44 | 44 |
2025 January | 43 | 43 |
2024 December | 54 | 54 |
2024 November | 50 | 50 |
2024 October | 46 | 46 |
2024 September | 54 | 54 |
2024 August | 30 | 30 |
2024 July | 34 | 34 |
2024 June | 22 | 22 |
2024 May | 26 | 26 |
2024 April | 23 | 23 |
2024 March | 6 | 6 |
Total | 504 | 504 |
Show by month | Manuscript | Video Summary |
---|---|---|
2025 April | 4 | 4 |
2025 March | 68 | 68 |
2025 February | 44 | 44 |
2025 January | 43 | 43 |
2024 December | 54 | 54 |
2024 November | 50 | 50 |
2024 October | 46 | 46 |
2024 September | 54 | 54 |
2024 August | 30 | 30 |
2024 July | 34 | 34 |
2024 June | 22 | 22 |
2024 May | 26 | 26 |
2024 April | 23 | 23 |
2024 March | 6 | 6 |
Total | 504 | 504 |