In the real environment, the unstable radar measurement noise can degrade the tracking performance of the maneuvering target. In this Letter, the iterative formulation of the noise is simplified, and the noise-adaptive matrix is introduced to calculate the fading factor of the strong tracking algorithm, so that the effect of measurement noise on the fading factor can be corrected in real time. The superior performance of the proposed method is verified by comparison with three existing improved methods on a typical example.

A modified range-Doppler algorithm (M-RDA) for high squint synthetic aperture radar (SAR) imaging is proposed in this letter. In the M-RDA, the range walk (RW) is removed firstly by multiplying a preprocessing function in range frequency-azimuth time domain, which is the dominant component of the totle range cell migration (RCM). There is no interpolation operation in the proposed M-RDA, which greatly improves its computational efficiency. To obtain a well-focused SAR image, the fourth-order phase error is considered to achieve accurate azimuthal compression. Finally, the effectiveness of the proposed algorithm is proved by the point target simulation results.