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Objectives: This work is introduced to design, implementation and specific analysis of printed miniature uniplanar micro strip low pass filter having a cut off of 15GHz on RT/duroid 6010.2 substrate. Methods/Statistical analysis: Besides, the paper examines simulated responses of three circuits which are predominantly lumped element circuit, stepped impedance and EM simulation with respect to conventional design circuit simulations where in both the design strategy will match the tested results. Findings: This proposed work comprises low pass filter design, lumped design and basic design by using only micro strip lines technology. The EM Structure sight design technique gives good sharp cut-off frequency response when compare with other technique towards low insertion loss which brings about having extraordinary concurrence for incredible relationship. Predominantly, AWR microwave office tool is used for designing and analysis. Application/ Improvements: The proposed design configuration will have more extensive application in advancements like 5G, Satellite, radars, Port Vessel Traffic Services and military communication system.

In this work we are involved in determining the direction of arrival estimation of the signals. For accomplishing this task, we are involved in using genetic algorithm method. Here are many methods of direction of arrival methods, such as MUSIC algorithm, Minimum Norm Method, ESPRIT. Among all the previously existing techniques, MUSIC algorithm is best method of direction arrival estimation method. But the MUSIC algorithm will take more time when compared to the genetic algorithm. If the signal is having more noise conditions, then MUSIC algorithm will not perform well when compared to the genetic algorithm. For 0db SNR, the DOA for the Genetic algorithm is 0.01 % varying but for the same SNR, in the case of MUSIC algorithm, DOS is 5% variation is observed. For a given SNR, the DOA estimated for 4 element antenna array in the case of Genetic algorithm is not observed for the MUSIC algorithm for the same signal SNR and number of antenna elements. Here a comparative study between the Genetic Algorithm and MUSIC algorithm performance is studied. The application can be included in the advanced system where a wireless device can detect the DOA very accurately without doing the more computations. The algorithms are implemented by using the MATLAB tool.