基于恒模特性的QPSK-DSSS信号扩频序列估计

doi:10.7527/S1000-6893.2013.0126

ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2013, Vol. 34 ›› Issue (6): 1389-1396.doi: 10.7527/S1000-6893.2013.0126

• Electronics and Control • Previous Articles Next Articles

Spreading Sequence Estimation Based on Constant Modulus Property for QPSK-DSSS Signals

ZHANG Huaguo^1,2, WEI Ping¹

1. School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China;
2. Science and Technology on Communication Information Security Control Laboratory, Jiaxing 314033, China

Received:2012-11-10 Revised:2013-02-25 Online:2013-06-25 Published:2013-03-01
Contact: 10.7527/S1000-6893.2013.0126 E-mail:uestczhg@163.com
Supported by:
National Natural Science Foundation of China (61201282);Science and Technology on Communication Information Security Control Laboratory Foundation (9140C130304120C13064)

Abstract

Abstract:

In this paper, a spreading sequence estimation algorithm based on constant modulus property is proposed for the QPSK-DSSS signals in low signal to noise ratio and non-cooperative scenarios. First, the single-user QPSK-DSSS signal can be equivalently represented as a two-user BPSK-DSSS signal, and then the two-dimensional signal subspace spanned by the in-phase and quadrature binary spreading sequences is estimated by the eigen-decomposition of the covariance matrix. Finally, to estimate the spreading sequences accurately, its constant modulus property is exploited to cope with the unitary matrix ambiguity resulting from eigen-decomposition. The proposed algorithm is simple and easy to implement, and has a lower computational complexity compared to existing methods. And simulation results demonstrate the significant performance gains of the proposed algorithm in low signal to noise ratio situations.

Key words: QPSK-DSSS signal, spreading sequence, signal subspace, constant modulus property, unitary matrix ambiguity

CLC Number:

ZHANG Huaguo, WEI Ping. Spreading Sequence Estimation Based on Constant Modulus Property for QPSK-DSSS Signals[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2013, 34(6): 1389-1396.

References

[1] Bouder C, Azou S, Burel G. Performance analysis of a spreading sequence estimator for spread spectrum transmissions. Journal of the Franklin Institute, 2004, 341(7): 595-614.

[2] Bouder C, Azou S, Burel G. A robust synchronization procedure for blind estimation of the symbol period and the timing offset in spread spectrum transmissions. IEEE Seventh International Symposium on Spread Spectrum Techniques and Applications, 2002, 1: 238-241.

[3] Zhang T Q, Mu A P. A modified eigen-structure analyzer to lower SNR DS-SS signals under narrow band interferences. Digital Signal Processing, 2008, 18(4): 526-533.

[4] Zhang T Q, Lin X K, Zhou Z Z. Blind estimation of the PN sequence in lower SNR DS/SS signals. IEICE Transactions on Communications, 2005, 88(7): 3087-3089.

[5] Zhang T Q, Zhang C. An unsupervised adaptive method for eigenstructure analysis of lower SNR DS signals. IEICE Transactions on Communications, 2006, 89(6): 1943-1946.

[6] Zhang T Q, Dai S S, Zhang W, et al. Blind estimation of the PN sequence in Lower SNR DS-SS signals with residual carrier. Digital Signal Processing, 2012, 22(1): 106-113.

[7] Zhang H B, Lv M. Blind estimation of PN spreading sequence based on subspace tracking. Systems Engineering and Electronics, 2006, 28(10): 1470-1472. (in Chinese) 张红波, 吕明. 基于子空间跟踪的扩频码盲估计算法. 系统工程与电子技术, 2006, 28(10): 1470-1472.

[8] Lv M, Zhang H B, Tang B. Blind estimation of PN spreading sequence based on E-PASTd. Journal of University of Electronic Science and Technology of China, 2007, 36(5): 886-888. (in Chinese) 吕明, 张红波, 唐斌. 基于E-PASTd的盲扩频码序列估计算法. 电子科技大学学报, 2007, 36(5): 886-888.

[9] Lv M, Zhou Y, Tang B. Blind estimation of PN spreading sequence based on a generalized energy function. Signal Processing, 2009, 25(7): 1160-1163. (in Chinese) 吕明, 周咏, 唐斌. 基于广义能量函数的扩频码序列盲估计算法. 信号处理, 2009, 25(7): 1160-1163.

[10] Peng Y H, Tang B, Lv M. Fast method for spreading sequence estimation of DSSS signal based on maximum likelihood function. Journal of Systems Engineering and Electronics, 2010, 21(6): 948-953.

[11] Tsatsanis M K, Giannakis G B. Blind estimation of direct sequence spread spectrum signals in multipath. IEEE Transactions on Signal Processing, 1997, 45(5): 1241-1252.

[12] Yao Y, Poor V. Eavesdropping in the synchronous CDMA channel: an EM-based approach. Transactions on Signal Processing, 2001, 49(8): 1748-1756.

[13] Yao Y, Poor V. Blind detection of synchronous CDMA in non-Gaussian channels. IEEE Transactions on Signal Processing, 2004, 52(1): 271-279.

[14] Hill D A, Bodie J B. Experimental carrier detection of BPSK and QPSK direct sequence spread spectrum signals. Military Communications Conference, 1995, 1: 362-367.

[15] Burel G. Detection of spread spectrum transmissions using fluctuations of correlation estimators. IEEE International Symposium on Intelligent Signal Processing and Communication Systems, 2000.

[16] Kuehls J F, Geraniotis E. Presence detection of binary-phase-shift-keyed and direct-sequence spread-spectrum signals using a prefilter-delay-and-multiply device. IEEE Journal on Selected Areas in Communications, 1990, 8 (5): 915-933.

Spreading Sequence Estimation Based on Constant Modulus Property for QPSK-DSSS Signals

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 3

Recommended Articles

Metrics

Comments

[1]	REN Xiaotian, XU Hui, HUANG Zhitao, WANG Fenghua, LU Fengbo. Blind Source Separation Based Blind Estimation of the Spreading Sequences for Multi-Rate DS/CDMA Signals [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2012, 33(8): 1455-1465.
[2]	WANG Wei, WANG Xianpeng, MA Yuehua. Multi-target Localization Based on Multi-stage Wiener Filter for Bistatic MIMO Radar [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2012, 33(7): 1281-1288.
[3]	Gu Jinghua;;Gong Wenbin;Yu Jinpei;. Calibration Algorithm of Satelliteborne DBF Receiving Antenna Array [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2009, 30(11): 2149-2155.