A frequency hopping scheme (1 bit per chip) is proposed and studied in som detail for channels in the HF-band. This band is subject to interference that varies with time and frequency, due to varying transmission and propagation conditions. To make efficient use of the available channel resource an adaptive frequency hopping algorithm has been implemented by means of a neural network to make use of the available channel information from the link quality analysis (LQA) in selecting the frequency slot in contrast to having a uniformly distributed selection process. The algorithm proposed combines the advantages of low probability of detection during transmission and reduced fading and interference disturbances when detecting transmitted signals. The disturbances not eliminated by the channel selection is further reduced by using block codes with first order soft decision decoding. The results on residual bit error rate and average signal to interference ratio are promising with an overall reduction of bit error rate of more than two ordes of magnitude at moderate signal to noise and signal to interference ratios for a course channel model based upon the results by Laycook et al.