The classification of warheads and decoys is a core technology in the defense of the ballistic missile. Usually, a high range resolution is favorable for the development of the classification algorithm, which requires a high sampling rate in fast time, and thus leads to a heavy computation burden for data processing. In this paper, a novel method based on compressed sensing (CS) is presented to improve the range resolution of the target with low computational complexity. First, a tool for electromagnetic calculation, such as CST Microwave Studio, is used to simulate the frequency response of the electromagnetic scattering of the target. Second, the range-resolved signal of the target is acquired by further processing. Third, a greedy algorithm is applied to this signal. By the iterative search of the maximum value from the signal rather than the calculation of the inner product for raw echo, the scattering coefficients of the target can be reconstructed efficiently. A series of experimental results demonstrates the effectiveness of our method.

The paper proposes a constant bit rate (CBR) control algorithm for motion JPEG2000 (MJ2). In MJ2 coding, every frame can be coded at similar target bitrate due to the accurate rate control feature. Moreover, frames of the same scene have the similar rate-distortion (RD) characters. The proposed method estimates the initial cutoff threshold of the current frame according to the previous frame's RD information. This iterative method reduces computational cost significantly. As opposed to previous algorithms, it can be used at any compression ratio. Experiments show that the performance is comparable to normal JPEG2000 coding.