-The main goal of this work is to identify the type of modulation in an independent manner with the use of plug and play module. As, some of the applications of SDR involve military and relief operation (non-cooperative relay environments), wireless data is sent using a suitable modulation technique to provide suboptimal and optimal receivers, savings in power for a required bit error rate etc. The constraints like limited available frequency bandwidth, time-varying multipath fading, shadowing and mobility are considered in this work.Efficient techniques to overcome these limitations involve adaptively changing the modulation mode based on the channel quality information sensed by the receiver and fed back to the transmitter to the throttling of the window size by the sender. The receiver should identify the type of modulation the transmitter has sent Keywords: DPSK, Adaptive modulation Introduction A wireless channel model can be considered both as a time-domain and frequency-domain channel with nonstationary and ergodic features. As a time-domain channel it is complex normal and independent across filter taps and users. Similarly in frequency-domain it has correlated channel gains across subcarriers. The general multidimensional linear channel model adequately represents a plethora of communication system models which utilize multidimensional transmit-receive signals for attaining increased rates and reliability in the presence of fading. Proposed method used to enhance feature extraction schemes, to optimize the number of feature vectors considered for identification and to combine deterministic and blind autonomous modulation identification schemes. The fundamental feature vectors are needed to be identified and used.