Search

The low-complexity channelizer is essential in passive radar multi-channel wideband receiver using array antennas. The digital filter bank is usually used to realize the channelizer. In the paper, a low-complexity channelizer based on frequency response masking (FRM) is proposed to reduce the high computational complexity of the narrow transition bandwidth filter bank. A half-band filter is used to design the prototype filter of the proposed low-complexity channelizer based on FRM. Compared to the maximally decimated filter bank, the decimation coefficient of the non-maximally decimated filter bank can be different from the number of channels, which makes the low-complexity channelizer more flexible. The low-complexity channelizer based on FRM can be directly applied to a wideband receiver without the limit of the sampling rate. The simulation and complexity analysis results show that the proposed low-complexity channelizer is correct and significantly reduces computational and hardware complexities. The proposed low-complexity channelizer makes it possible to implement passive radar multi-channel wideband receiver on a single hardware processor; thus, it is suitable to applied in passive radar multi-channel wideband receiver using array antennas. [ABSTRACT FROM AUTHOR]

Modulated filter bank with low complexity is the key to realize the engineering applications for speech signal processing, multicarrier communication, and wideband digital receivers. The frequency response masking (FRM) technology is an effective method to design finite impulse response filters with narrow transition band (NTB). In this paper, an interpolation FRM unified modulated filter bank (IFRM-UMFB) architecture with NTB is proposed to reduce the computational complexity of the modulated filter bank architecture. The IFRM approach increases the transition band of two masking filters by the interpolation of N and reduces the computational complexity of two masking filters compared with classic FRM approach. The proposed IFRM-UMFB architecture with NTB is suitable for different odd-stacked or even-stacked, maximally decimated or non-maximally decimated structures. The proposed IFRM-UMFB architecture with NTB is verified to be correct through simulation. The complexity comparison result shows that the proposed IFRM-UMFB architecture offers multipliers reduction of 77.4% over the directly design approach and 26.5% over the classic FRM approach. Moreover, the proposed IFRM-UMFB architecture with NTB also can be directly applied to wideband digital receivers with high sampling rate. [ABSTRACT FROM AUTHOR]

Software radio channelizer is employed in the multi-standard wireless communication for extracting individual channels from the wideband input signal. Frequency response masking (FRM) finite impulse response (FIR) filters are used in software radio channelizer for reducing the computational complexity of the maximally decimated filter bank (MDFB) with narrow transition band (NTB). In this paper, we present an approach to design two well-known classes of efficient digital filters, namely the interpolated and full FRM FIR filters. In the proposed MDFB, the FRM is used to obtain flexible transition band and low complexity. The proposed improved FRM-based MDFB with NTB can be directly applied to high sampling rate software radio channelizer. We show the FRM filter examples for single carrier orthogonal frequency division multiplexing (SC-OFDM) modulator and wideband digital receiver (WDR). The simulation results indicate that the improved FRM-based MDFB with NTB is correct. Design examples with complexity comparison are presented to demonstrate the complexity improvement of the proposed FRM-based MDFB with NTB. [ABSTRACT FROM AUTHOR]