Among the emerging active sensing radar technology, Multiple Inputs Multiple Output (MIMO) radar has given a new path for imaging and remote sensing techniques. This paper deals with the comparison of performance analysis for various topologies of multiple antenna systems in radars and then compares the obtained result with analogous communication system. This paper also introduces the concept of statistical MIMO radar which exploits the special diversity of target scattering to improve detection and performance due to absence of target fades compared with other types of array radars, analyse various topologies of multiple antenna systems in radars into its analogous multi antenna communication system(AMCM). This new novel detection approach is more tractable than conventional ‘probability of detection analysis’ to track the detection capability of radars and is based on modelling of radar target as a modulator in an analogous communication system. This AMCM method leads to a quantitative and qualitative comparison of the fidelity of MIMO radar and quantifies ‘detection’ as being inversely proportional to bit error rates (BER) of the resulting communications channel. The fundamental difference between statistical MIMO radar and other radar array systems is that the latter seek to maximize the coherent processing gain, while statistical MIMO radar capitalizes on the diversity of target scattering to improve radar performance. Coherent processing is made possible by highly correlated signals at the receiver array, whereas in statistical MIMO radar, the signals received by the array elements are uncorrelated. In this paper the convergence of wireless communication and digital radar is being investigated and their performance is evaluated additionally a system realization between radar & communication technology has been tried for moving vehicle application. The results are found to be encouraging in real life remote sensing system and can be simultaneously used for ITS (intelligent transport system).