Title :
Steady-state analysis of the adaptive successive interference canceler for DS/CDMA signals
Author :
Lai, Kuei-Chiang ; Shynk, John J.
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA
fDate :
10/1/2001 12:00:00 AM
Abstract :
The adaptive successive interference canceler (ASIC) is a multistage receiver that sequentially detects and removes cochannel users from the received signal impinging on a single antenna element. Each stage of the ASIC consists of a conventional matched filter (MF) detector and an adaptive interference canceler (AIC) that employs the least-mean-square (LMS) algorithm to recursively estimate the received amplitude of the detected signal. In this paper, we investigate the performance of the ASIC using a Wiener model of convergence for the LMS algorithm, deriving expressions for the asymptotic mean and variance of the amplitude estimate and the steady-state bit error rate (BER). The analyses and computer simulations demonstrate that the performance of the ASIC exceeds that of the conventional SIC (CSIC), which utilizes the MF output as the received amplitude estimate
Keywords :
adaptive signal detection; adaptive signal processing; cellular radio; cochannel interference; code division multiple access; convergence of numerical methods; error statistics; interference suppression; least mean squares methods; matched filters; radio receivers; spread spectrum communication; ASIC; BER; DS/CDMA signals; LMS; Wiener model; adaptive successive interference canceler; antenna element; bit error rate; cochannel users; convergence; least-mean-square algorithm; matched filter; multistage receiver; performance; received amplitude; steady-state analysis; Adaptive arrays; Adaptive signal detection; Amplitude estimation; Application specific integrated circuits; Bit error rate; Interference cancellation; Least squares approximation; Matched filters; Receiving antennas; Steady-state;
Journal_Title :
Signal Processing, IEEE Transactions on
