Performance of Ternary Sequences Using Adaptive Filter

The wide application of pulse compression is mainly because of its ability to reduce peak transmission power that causes improvement in SNR value. Pulse compression is a standard signal processing technique which can be used to achieve desired range resolution and detection range. Better range resolution can be achieved by using matched filter. In this paper, chaotic maps are used to generate ternary chaotic sequences of any length. A new approach is used to achieve superior performances in range detection and range resolution. The method used in this paper is adaptive filtering technique. The performance parameter is peak sidelobe ratio which has been estimated with and without adaptive filtering technique. The simulation results show significant improvement in the performance. Least mean square algorithm is one of the well-known algorithms due to ease of implementation in various applications. In this paper, the convergence property of this algorithm is measured in terms of mean square error which is clearly investigated.