To effectively detect and recognize multi-component emitter signals,a multi-component emitter signal analysis method based on the reassigned S-method(RSM) was proposed.

When the conventional time-frequency methods are applied to process multi-component radar emitter signals,they have many cross-terms,and cannot detect time-domain parameters of each signal component and difficultly process signals in low signal-to-noise ratio.

New intra-pulse feature extraction approach of radar emitter signals

Classification of radar emitter signals using the characteristics derived from instantaneous frequencies

The deinterleaving of radar emitter signals is a crucial technique in signal processing of Electronic Intelligence, which directly determines the performance of electronic reconnaissance equipment.

Feature extraction of radar emitter signals based on timefrequency atoms;

Blind classification of radar emitter signals based on grey relational analysis

Time-frequency analysis of radar emitter signals based on image processing technology

The radiation signal was sampled by using the point corona discharge simulation system,and the characteristics of the signal in time-domain and frequency-domain were analyzed to analyse the corona discharge characte ristic of radiation signal better.