FM interference suppression for PRC-CW radar based on adaptive STFT and time-varying filtering

The influence of frequency modulation （FM） interfer- ence on correlation detection performance of the pseudo random code continuous wave （PRC-CW） radar is analyzed. It is found that the correlation output deteriorates greatly when the FM inter- ference power exceeds the anti-jamming limit of the radar. Accord- ing to the fact that the PRC-CW radar echo is a wideband pseudo random signal occupying the whole TF plane, while the FM in- terference only concentrates in a small portion, a new method is proposed based on adaptive short-time Fourier transform （STFT） and time-varying filtering for FM interference suppression. This method filters the received signal by using a binary mask to excise only the portion of the TF plane corrupted by the interference. Two types of interference, linear FM （LFM） and sinusoidal FM （SFM）, under different signal-to-jamming ratio （S JR） are studied. It is shown that the proposed method can effectively suppress the FM interference and improve the performance of target detection.

DRA多声道数字音频信号压缩编码算法

提出了DRA多声道数字音频信号压缩编码算法,由于采用了瞬态局部化的MDCT(Modified Discrete Cosine Transform)消除预回声和基于统计特性的量化指数熵编码码书选择等创新方法,DRA多声道数字音频信号压缩编码算法在较低的算法复杂度下达到了国际先进水平的压缩效率。依据ITU-R BS.1116标准进行的主观听音测试结果表明其达到了标准中定义的"透明音频质量"的要求。