Radar Maneuvering Target Motion Parameter Estimation Based on Hough Transform and Polynomial Chirplet Transform

This paper considers the problem of estimating motion parameters a low-observable high-speed maneuvering target with high-order motions, where target’s complex motions will result in range migration (RM) and Doppler frequency (DFM) effects within observation time interval, which significantly affect radar performance. Based on Hough transform (HT) polynomial Chirplet (PCT), novel method for parameter estimation, we coin as HPCT, is proposed this paper. It first employs trajectory feature extracted from image profiles by HT to correct first-order RM resolve ambiguity. Then, it compensates residual curvature DFM estimated time-frequency ridge, highly concentrated representation (TFR) generated PCT. After that, energy returns can be coherently integrated along moving trajectory. In addition, evaluate estimation performance, integration performance computational cost via theoretical analysis or numerical experiments. The results show that terms anti-noise ability, cross-term interference avoidance, measurement accuracy complexity, HPCT superior some common methods estimation. Finally, extend scenario multiple targets different orders.