Multi-dynamic radar systems are of emerging interest as airborne surveillance system, as it can exploit spatial diversity for airborne radar scenario. Multi-dynamic radar is new state of art, it is an conceptual extension of Multi-static and statistical class of MIMO radar. Multi-dynamic radar enables improved performance for various cases vis-A-vis mono static radar and multi-static radar. The real challenge lies for this state of art to characterize and model the signals when radar platforms are mobile or airborne radar. The statistical characteristics of radar signal dynamically changing difficult to fit into statistical model. The Transmitter(Tx)-Receiver(Rx) pair in this case is taken on aircraft or airborne. Such that Airborne radar with multiple receiver on different set of UAVs. Stealth aircraft design has proven to be one of the most effective approaches to hide the target from radar systems. Hence the radar systems based on Bi-static, Multi-static and multi-dynamic concept attracted to ensure the detection of such targets. In this paper the system geometry of Bi-static is considered and simulated with all possible radar performance parameters. One of the key problems in the multi-dynamic radar system is the identification of a particular transmitter signal or transmitted waveform parameters. Primary Radar and Secondary Surveillance Radar(SSR) or Identification of friend or foe(IFF) radar both work in conjunction for respective non-cooperative and cooperative targets. A method is proposed in which SSR or IFF waveforms is used for Transmitter identity for Primary Radar waveform assumed to be having common scheduler. Target skin echo is detected for using SSR waveform to decipher the waveform ID of radar waveform. In Mode S mark XII IFF interrogating waveform frame format consists of 56 bits in this 4 bits (10-13) used as interrogator identifier and 16 bits (17-32) used to keep as spare bits. In the proposed method, spare 16 bits are utilized to send the encoded Transmitted waveform identity. it is required to estimate the Transmitter waveform identity as well as to validate with the interrogator identifier. Reed Muller algorithm is used for encoding the Transmitter waveform. These 56 bits are used towards transmission using Binary phase shift keying (BPSK) modulation. The transponder/receiver will demodulate and decipher the received signals using standard Hadamard algorithm to estimate the interrogator identity. The simulation is made and projected results show that it is possible to estimate the correct Transmitter waveform with up to 2-3 bits error. Since, Probability of Detection(Pd) depends on noise level and also received signal's SNR is estimated in the proposed work using two standard algorithms which are iterative maximum likelihood criterion based. © 2017 IEEE.