2008
DOI: 10.2528/pierb07121408
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Frequency Domain Interference Cancellation for Single Carrier Cyclic Prefix Cdma System

Abstract: Abstract-In this paper, we propose a low complexity receiver structure for Single-input Multiple-output (SIMO) downlink cyclic prefix CDMA (CP-CDMA) systems. It employs an interference cancellation scheme to suppress the interference caused by the multipath fading channel. Also, the proposed scheme is developed for Multiple-input Multiple-output (MIMO) CP-CDMA system. All filters in the proposed receiver are implemented in the frequency domain. The performance of the proposed receiver is studied and compared. … Show more

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Cited by 24 publications
(21 citation statements)
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“…So the frequency-domain cancellation [26] must be used for the whole angles RCS measurement. The method is that the echo of chamber at each frequency point is recorded over the whole rotation angles of the revolving stage firstly, and the frequencydomain data of target are measured with no change of background at the same angle, then the vector subtraction is applied to the data of chamber and target at corresponding angle.…”
Section: Frequency-domain Cancellationmentioning
confidence: 99%
“…So the frequency-domain cancellation [26] must be used for the whole angles RCS measurement. The method is that the echo of chamber at each frequency point is recorded over the whole rotation angles of the revolving stage firstly, and the frequencydomain data of target are measured with no change of background at the same angle, then the vector subtraction is applied to the data of chamber and target at corresponding angle.…”
Section: Frequency-domain Cancellationmentioning
confidence: 99%
“…Assume the complex data and noise both satisfy symmetric property E a 2 n = E w 2 t = 0 in addition E |a n | 4 − 2E 2 |a n | 2 < 0, i.e., the kurtosis K(a n ) of a n is negative as is often the case of QAM system. When the distortion caused by channel (LTI [10,11], non ideal) is significant, equalization is needed to remove the ISI [20] at the sampling instants (t = nT ). Due to the presence of ISI, the recovery of input signal sequence a n requires that the channel impulse response h(t − T 0 ) be identified either explicitly or in decision feedback equalization (DFE) [9,20] or implicitly as in linear equalization.…”
Section: Channel Model For a Qam Sourcementioning
confidence: 99%
“…When the distortion caused by channel (LTI [10,11], non ideal) is significant, equalization is needed to remove the ISI [20] at the sampling instants (t = nT ). Due to the presence of ISI, the recovery of input signal sequence a n requires that the channel impulse response h(t − T 0 ) be identified either explicitly or in decision feedback equalization (DFE) [9,20] or implicitly as in linear equalization. In traditional blind equalization system the channel output sampled at the known baud rate 1/T .…”
Section: Channel Model For a Qam Sourcementioning
confidence: 99%
“…In contrast, the present work is to enable multiple radars to operate quasi-independently in the same spectrum without interfering with one another. Because radar operates in the same spectrum, where signal and interference occupy the same frequency band, it is impossible to eliminate the interference in the frequency domain similar to other multistatic radar system [8,9], and the matched filter is not optimal any more in such a situation. Thus, it is crucial to find advanced approaches to mitigate the effect of interference in shared-spectrum multistatic radar.…”
Section: Introductionmentioning
confidence: 99%