Fluctuating targets are important phenomenons that affect detection probability. Several investigations about this topic have been carried on with good results to radar capabilities improvement. However, the increasing development of stealth technology has weakened traditional surveillance systems. This work has as main objective to improve radar detection of fluctuating targets using error control codes techniques. The purposed novel idea consists on a long pulse divided into a number of shorter sub-pulses, equally spaced in time duration. The binary phases of these sub-pulses are selected in accordance with Barker codes. Convolutional coding and Binary Phase Shift Keying(BPSK) modulation techniques are used. We determinate the probability of detection computing the bit error rate values. Matlab software is used to make several simulations that back up this theory. The results demonstrate that the probability of detection for Swerling I and Swerling III fluctuating target models is increased with the use of convolutional coding technique to detect and correct sub-pulse errors. This work offers a preliminary analysis of the detection improvement method with the use of error-control coding on radar pulsed with quite generalized assumptions thereby left a bigger space for future work with assumptions to fit practical implementation of the method.

波动目标是影响检测概率的重要现象。已经对该主题进行了多次调查，并在提高雷达能力方面取得了良好的效果。然而，隐身技术的日益发展削弱了传统的监视系统。这项工作的主要目标是使用错误控制码技术改进对波动目标的雷达检测。有目的的新颖想法在于将长脉冲分成多个较短的子脉冲，这些子脉冲在持续时间上等间隔。这些子脉冲的二进制相位是根据巴克码选择的。使用卷积编码和二进制相移键控 (BPSK) 调制技术。我们确定计算误码率值的检测概率。Matlab 软件用于进行支持该理论的多个模拟。结果表明，通过使用卷积编码技术检测和纠正子脉冲错误，提高了对 Swerling I 和 Swerling III 波动目标模型的检测概率。这项工作提供了对检测改进方法的初步分析，该方法在雷达脉冲上使用错误控制编码，并具有相当普遍的假设，从而为未来的工作留下了更大的空间，假设假设适合该方法的实际实施。