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The IUP Journal of Electrical and Electronics Engineering:
Analysis of Flipped Secant Inverse Hyperbolic Pulse-Based FIR Filter for WCDMA
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Due to the increasing demand for video signal processing and transmission of high speed and higher order, FIR filters have frequently been applied for performing adaptive pulse shaping and signal equalization on received data in real time. Pulse shaping for wireless communication over time as well as frequency selective channels is the need of the hour for 3G and 4G systems. Due to intensive use of digital filters in video and communication systems, high performance in speed, area and power consumption is demanded. The rapidly increasing popularity of mobile radio services has created a series of technological challenges. One of this is the need for power and spectrally efficient modulation schemes to meet the spectral requirements of mobile communications. Linear modulation methods such as QAM, QPSK, and OQPSK have received much attention due to their inherent high spectral efficiency. However, for the efficient amplification of the transmitted signal, the Radio Frequency Amplifier is normally operated near the saturation region and, therefore, exhibits nonlinear behavior. As a result, significant spectral spreading occurs when a signal with large envelope variations propagates through such an amplifier and creates large envelope fluctuations. Pulse shaping plays a crucial role in spectral shaping in the modern wireless communication to reduce the spectral bandwidth. The present paper deals with an analysis of flipped secant inverse hyperbolic pulse-based FIR filter for WCDMA.

 
 
 

Data communication using pulse shaping techniques has a critical role in a communication system. In digital telecommunication, pulse shaping is the process of changing the waveform of transmitted pulses. Its purpose is to make the transmitted signal suit better to the communication channel by limiting the effective bandwidth of the transmission. In radio frequency communication, pulse shaping is essential for making the signal fit in its frequency band (Grant, 1992; Iniaco and Embres, 1996; Piedra and Frish, 1996; Stevens, 1998; and Giannkis, 1999). The application of signal processing techniques to wireless communications is an emerging area that has recently achieved dramatic improvement in results and holds the potential for even greater results in the future, as an increasing number of researchers from the signal processing and communication areas participate in this expanding field (Tero and Ramjee, 1998; Adachi, 2001; Holma and Toskala, 2002; Keiji, 2002; and www.3GPP.org).

Digital signal processing techniques are being used to improve the performance of 3rd Generation (3G) systems. Wideband Code-Division Multiple Access (WCDMA), an ITU standard derived from Code-Division Multiple Access (CDMA), is officially known as IMT-2000 direct spread spectrum. WCDMA is a 3G mobile wireless technology that promises much higher data speeds to mobile and portable wireless devices than commonly offered in today's market. WCDMA can support mobile/portable voice, images, data, and video communications at up to 2 Mbps (local area access) or 384 Kbps (wide area access). The input signals are digitized and transmitted in coded, spread-spectrum mode over a broad range of frequencies. A 5 MHz-wide carrier is used, compared with 200 kHz-wide carrier, for narrowband CDMA. The group delay plays a crucial role in pulse shaping digital finite impulse response filter. The value of group delay should be minimum for efficient performance of digital pulse shaping filter. Keeping in view the role of pulse shaping filter in wireless communication, the present study deals with the analysis and simulation of pulse shaping digital finite impulse response filter for WCDMA to enhance its performance.

 
 
 

Electrical and Electronics Engineering Journal, Flipped Secant Inverse Hyperbolic Pulse, Video Signal Processing, Wireless Communication, Mobile Communications, Mobile Radio Services, Data Communication, Pulse Sshaping Techniques, Signal Processing, Digital Signal Processing Techniques, Mobile Wireless Technology, Computer Program.