研究目的
To achieve high quality ISAR images under the circumstances of irregular motion, large target and low signal to noise ratio (SNR) by proposing a novel method based on Back Projection (BP) and Particle Swarm Optimization (PSO).
研究成果
The proposed method achieves high quality ISAR images for targets with arbitrary trajectory by modeling target motion as two polynomials and using PSO with an improved BP-based objective function to estimate polynomial coefficients. The simulation results verify the effectiveness of the method.
研究不足
The main limitation of the proposed method is the computation cost. Optimization of the computation will be the further work.
1：Experimental Design and Method Selection:
The target motion is modeled as a turntable, with translational and rotational motions modeled as two polynomials. An improved BP-based objective function is used with PSO to estimate polynomial coefficients.
2：Sample Selection and Data Sources:
An aircraft scattering model is utilized to produce simulated echo under specified radar parameters.
3：List of Experimental Equipment and Materials:
Radar working at 9.80 GHz, PRF of 1600 Hz, LFM signal with 200 MHz chirp bandwidth, CPI of 1.28s, and sample frequency of 300 MHz.
4：80 GHz, PRF of 1600 Hz, LFM signal with 200 MHz chirp bandwidth, CPI of 28s, and sample frequency of 300 MHz.
Experimental Procedures and Operational Workflow:
4. Experimental Procedures and Operational Workflow: Range compression and interpolation in range are processed as preprocessing. N pixels are selected for BP processing based on a two-dimensional Normal distribution. PSO is run to estimate polynomial coefficients, and the whole scene image is obtained by BP.
5：Data Analysis Methods:
The quality of the image is evaluated using the entropy of the imaging results of selected pixels by the current estimated polynomial coefficients.
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