|| Volume 2 ||Issue 4 || 2017 ISSN (Online) 2456-3293 COMPARISON OF MICROSTRIP BAND PASS AND BAND REJECT FILTER DGS TECHNIQUE BASED IN GSM BAND (1850MHZ) Richa Chaturvedi11, Dr. Laxmi Shrivastava2 Department of Electronics and Communication Engineering, Madhav institute of technology and science, Gwalior1 2 richa.chaturvedi98@gmail.com ------------------------------------------------------------------------------------------------------------ Abstract: In microwave communication filters are more essential high frequency component. To improve the insertion loss the DGS technique is used. DGS i.e, (defected ground structure) is a technique where cuts are drawn on ground to improve the results and reduce the size of filters. …show more content…
The filters using DGS technique has an attractive feature, which are- 1) As compared to the conventional low pass filters, the stop band is very wide and deeper. 2) It has a very simple structure and cost is very low 3) The losses will be reduced 4) Easy to fabricate [5] II DESIGN 2.1 Design of Hairpin band pass filter-In the band pass filter by without DGS the dimension of the filters are having 4cm×3cm.The insertion loss of this filter is -25.1850 dB, which will be improved in DGS technique Figure 1 Hairpin band pass filter Figure 2 Insertion loss of band pass filter WWW.OAIJSE.COM 8 || Volume 2 ||Issue 4 || 2017 ISSN (Online) 2456-3293 OPEN ACCESS INTERNATIONAL JOURNAL OF SCIENCE &ENGINEERING In this figure the simulated insertion loss of band pass filter without DGS is shown i.e., --28.197 dB. N g1 g2 g3 g4 g5 g6 1 0.3052 1.0 2 0.8431 0.6220 1.3554 3 1.0315 1.1474 1.0315 1.0 4 1.1088 1.3062 1.7704 0.8181 1.3554 5 1.1468 1.3712 1.9750 1.3712 1.1468 1.0 2.2 Design of Band Pass filter with DGS Technique (Hexagonal ring shape) Where FL=lower frequency, FH=Higher frequency, FC=cut off frequency.[6] M12=M45=0.3538 M23=M34=0.205 Qe1=Qe5=2.0625 By varying the spacing between the resonators, the coupling coefficient can be varied, by using the formula, K= (f22-f12) / (f22+f12) Where f1
5. Find the maximum separation distance from the primary coil along both the vertical and horizontal axes for each of the various secondary coils. Record results.
3. Metal width; increasing the width of the metal will reduce the inductance; somehow it will resonate at early frequency.
The horizontal resolution worsens as the reflectors are separated from the frequency because the footprint gets larger. The simulation and experimental values range approximately from λ/2 to 2λ for the high frequency. The results obtained for different frequency, the wavelengths converge when the bars are buried far from the antennas. In the horizontal resolution, the influence of the reflector's material is smaller. The best resolution is obtained with the 1 GHz as its resolution is slightly better than for the 800
For improving results we cut four rectangular slots S1, S2, S3 and S4 in which two horizontal slots S1 and S2 are of same dimensions with length L1 and width W1 and the vertical slots S3 and S4 are of same dimensions with length L2 and width W2 as shown in Fig.3. With these four slots we are getting good return loss for the above resonant frequencies as shown in Fig.4 but the return loss and bandwidth at all resonant frequencies can be improved by using cylindrical slot.
Digital Filter. An on-chip digital filter is used to minimize the signals and noise that are outside the band of interest.
In elecronic, broadcast, transportation, filters are used to select the desired signal, and deny or block unwanted signals. Or put in other words, they may be the only way we have to block.The doing so, we want to signal and other frequency or with a device, is frequency-selective - it behave different towards different frequencies. Such device is called a filter. (Bertrand, 2002)
The bandwidth limitation of antennas is usually linked to their input impedance because it is the quantity which changes with frequency so improvement in impedance response can help us to enhance its bandwidth. This approach can be implemented into following broad categories:
$\boldsymbol{P_{DC,max}}$ & $\frac{V_{DD}^{2}}{R_{opt}}$ & $\frac{2V_{DD}^{2}}{\pi R_{opt}}$& $\frac{V_{DD}.I_{rf}}{\pi}.[sin\theta - \theta cos\theta]$ & $\frac{V_{DD}.I_{rf}}{\pi}.[sin\theta - \theta cos\theta]$ \\ \hline
Keywords:-Dual U- Slot Loaded Stacked Patch, H-Slot loaded Fed Patch, RL(Return Loss), IE3D,Microstrip Patch antenna, Multiband Antenna
The system operates in the VHF band of 30 to 88 MHz, segmented into 2320 25 kHz channels. SINCGARS radios are also able to operate in a frequency hopping mode, with a rate of 111 hops per second along its 58 MHz bandwidth, and holding all other factors constant, this gives a static OODA loop operational tempo of 9 ms. The typical radio has a worst-case sensitivity of -110 dBm, as given by the manufacturer, with a typical value of -116 to -120 dBm. Adjacent channel isolation is 45 dB, so interference will be ignored in the analysis
The band pass FIR digital filter has been analysed with hanning window by using FDA tool in the MATLAB. The cut off frequency has been estimated by using nn tool.
In this type, the inner conductor of the coaxial cable is attached to the patch while the outer conductor is connected to the ground plane. This is the widely used type of feeding. The coaxial probe feed is also easy to fabricate and match, and it has low spurious radiation. However, it also has narrow bandwidth and it is more difficult to model, especially for thick substrates (h>0.02 1.0). 2.6.3 Aperture coupling: The aperture coupling of is the most difficult of all four to fabricate and it also has narrow bandwidth. However, it is somewhat easier to model and has moderate spurious radiation. The aperture coupling consists of two substrates separated by a ground plane. On the bottom side of the lower substrate there is a microstrip feedline whose energy is coupled to the patch through a slot on the ground plane separating the two
By Tribuvan Kumar Prakash Bachelor of Engineering in Electronics and Communication Engineering Visveswaraiah Technological University, Karnataka, 2004. August 2007
Abstract— Noise in signal records is caused by various factors which increase the difficulty in analyzing the signal and to obtain proper information. To design specific filters to decrease such noises in signal records is necessary. Hence efficient architecture of Delayed LMS (DLMS) algorithm is proposed which supports pipelining and avoid long critical path. A novel partial product generator and a strategy for optimized balanced pipelining across the time-consuming combinational blocks of the structure are used. It also concentrates on minimizing the adaption delay and area. The proposed system is implemented in verilog HDL language using Xilinx 14.2 and simulated using Modelsim simulator.