A Signal Decomposition Based Derivation Approach for Wideband Waveform Design

With the emergence of ultra-wideband technologies, the confluence of information needs and communication timeliness has posed more challenges to develop design approaches for generating waveforms with characteristics such as high resistance of interference and low probability of interception. In this paper, a signal decomposition-based derivation (SDD) approach for waveform design is proposed by leveraging the controlled variational model decomposition. A source signal with wideband and nonstationary characteristics is used for generating the base waveforms which is band-limited around a center frequency. The waveform design can be performed by combining the base waveforms to obtain the designed wideband waveforms for communication and radar systems. Simulations are conducted to verify the effectiveness of the designed SDD wideband waveform. A typical communication system with additive white Gaussian noise (AWGN) channel is simulated with the SDD wideband waveform design. The results show that generated waveform with the SDD approach can be used for secure communications.