Optimal and suboptimal synthesis of surface acoustic wave filters

Optimal and suboptimal design techniques of surface acoustic wave (SAW) linear phase filters both based on the Remez exchange algorithm and the McClellan´s computer program are considered. Optimal synthesis provides the best fit to a design target and leads to an apodized interdigital transducer (IDT) of minimal length. The optimal solution properties are studied. A suboptimal synthesis technique proposed allows reduction of computations without sacrificing the approximation accuracy. Computer run time and storage are saved as compared to optimal synthesis. The detailed suboptimal theory and some practical design aspects are discussed. The design examples are presented which confirm the efficiency and the flexibility of the synthesis techniques