| Pub. Date | : November, 2020 |
|---|---|
| Product Name | : The IUP Journal of Telecommunications |
| Product Type | : Article |
| Product Code | : IJTC31120 |
| Author Name | : Chaitanya Vijaykumar Mahamuni |
| Availability | : YES |
| Subject/Domain | : Arts & Humanities |
| Download Format | : PDF Format |
| No. of Pages | : 15 |
Radar systems are used for detection of objects by transmitting the electromagnetic waves in the free space. They operate in environments where there is a high possibility that the desired echo signal interferes with the signals from other sources. These signals include clutters and jammer signals. The jammer is a device that continuously emits the wideband radio signals in the radar environment to saturate the receiver with noise or false information. Thus, the total received signal has three components-returns from target, clutter and jammer combined, i.e., it is a three-dimensional signal. The use of conventional signal processing techniques is not desirable, as they cannot separate the desired echo signal from the other components, because the statistics of these components in the received signal is not known. This problem needs to be accounted for in airborne surveillance radars, as they have to identify and locate the targets in multiple interference environments. The Space- Time Adaptive Processing (STAP) Techniques is a combination of spatial and temporal filtering that can nullify the jammer signal and recognize the slow-moving targets. These techniques filter the signal in the angular and the Doppler domain for suppressing the unwanted signals. The paper presents a theoretical study of space-time adaptive coding techniques and MATLAB implementation of STAP algorithms, namely, SMI, DPCA and ADPCA, to suppress clutter and jammer interference in the received pulse.
A wireless sensor system can be characterized as a system of gadgets that can impart
the data assembled from an observed field through remote connections. The
information is sent through different hubs and with a passage, the information is
associated with different systems like remote ethernet (Ajith et al., 2007).
Some factor is at the top of the priority list while planning a sensor arrangement.
The vitality utilization ought to be less. The sensor systems are remarkable in the light
of the fact that they are effortlessly executed into the correspondence connections
and channels. A few hubs and sinks are given in the system (Anurag, 2014 and
Anbumozhi et al., 2014). The sink node(s) are significant terms if there should arise
an occurrence of Wireless Sensor Networks (WSN). Subsequently, correspondence in
Space-Time Adaptive Processing (STAP), Airborne radar, DPCA, SMI, ADPCA, Covariance Matrix