基于CDIF算法的雷达信号分选仿真matlab代码

Matlab仿真代码，亲测有效

Radar signals are generally characterised by repetitive patterns in time. An ESM receiver must intercept and identify several interleaved radar signals. Time-of-arrival (TOA) deinterleaving is employed in ESM processing to identify and extract the pulses of each radar signal. This task is extremely processor intensive and new techniques are required to operate on complex signals in high pulse densities. A new algorithm employing novel techniques is presented for fast, accurate deinterleaving of several repetitive signals. A cumulative TOA difference histogram gives an indication of probable pulse repetition intervals (PRIs) with a minimum number of computations. Validation and identification is given by searching for a sequence of these pulse intervals. The technique presented is less sensitive to interfering pulses and more robust to missed pulses than conventional published techniques. Weighting is used to enhance detection of sequences and a three-pulse priming sequence dramatically reduces unsuccessful searches. By employing a learning process, the efficiency is increased still further. The application of this algorithm to agile PRI signals is shown.

完整代码，可直接运行