Abstract
In this paper, we propose a novel receiver structure for cancelling self-mixed interferences in direct conversion receivers. The proposed receiver structure is based on the adaptive interference cancellation (IC) using an adaptive algorithm such as a least-mean-square (LMS). The reference signal for the adaptive IC is obtained from the received signal itself. Thus, the proposed method can mitigate the self-mixed interference without any additional information on the self-mixed interference. Moreover, the signal-tointerference ratio (SIR) performance of the proposed cancellation method is theoretically analyzed. The simulation results indicate that the numerical SIR performance is well matched with the theoretical SIR performance. Also, the proposed cancellation method cancel the self-mixed interference almost perfectly even when the power of the received interference signal is 50dB larger than that of the received desired signal.
| Original language | English |
|---|---|
| Article number | 6531111 |
| Pages (from-to) | 310-315 |
| Number of pages | 6 |
| Journal | IEEE Transactions on Consumer Electronics |
| Volume | 59 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 2013 Jul 15 |
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All Science Journal Classification (ASJC) codes
- Media Technology
- Electrical and Electronic Engineering
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Performance analysis on the self-mixed interference cancellation in direct conversion receivers. / Choi, Moonchang; Choi, Sooyong.
In: IEEE Transactions on Consumer Electronics, Vol. 59, No. 2, 6531111, 15.07.2013, p. 310-315.Research output: Contribution to journal › Article
TY - JOUR
T1 - Performance analysis on the self-mixed interference cancellation in direct conversion receivers
AU - Choi, Moonchang
AU - Choi, Sooyong
PY - 2013/7/15
Y1 - 2013/7/15
N2 - In this paper, we propose a novel receiver structure for cancelling self-mixed interferences in direct conversion receivers. The proposed receiver structure is based on the adaptive interference cancellation (IC) using an adaptive algorithm such as a least-mean-square (LMS). The reference signal for the adaptive IC is obtained from the received signal itself. Thus, the proposed method can mitigate the self-mixed interference without any additional information on the self-mixed interference. Moreover, the signal-tointerference ratio (SIR) performance of the proposed cancellation method is theoretically analyzed. The simulation results indicate that the numerical SIR performance is well matched with the theoretical SIR performance. Also, the proposed cancellation method cancel the self-mixed interference almost perfectly even when the power of the received interference signal is 50dB larger than that of the received desired signal.
AB - In this paper, we propose a novel receiver structure for cancelling self-mixed interferences in direct conversion receivers. The proposed receiver structure is based on the adaptive interference cancellation (IC) using an adaptive algorithm such as a least-mean-square (LMS). The reference signal for the adaptive IC is obtained from the received signal itself. Thus, the proposed method can mitigate the self-mixed interference without any additional information on the self-mixed interference. Moreover, the signal-tointerference ratio (SIR) performance of the proposed cancellation method is theoretically analyzed. The simulation results indicate that the numerical SIR performance is well matched with the theoretical SIR performance. Also, the proposed cancellation method cancel the self-mixed interference almost perfectly even when the power of the received interference signal is 50dB larger than that of the received desired signal.
UR - http://www.scopus.com/inward/record.url?scp=84879928474&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84879928474&partnerID=8YFLogxK
U2 - 10.1109/TCE.2013.6531111
DO - 10.1109/TCE.2013.6531111
M3 - Article
AN - SCOPUS:84879928474
VL - 59
SP - 310
EP - 315
JO - IEEE Transactions on Consumer Electronics
JF - IEEE Transactions on Consumer Electronics
SN - 0098-3063
IS - 2
M1 - 6531111
ER -